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Diff for /imach/src/imach.c between versions 1.55 and 1.77

version 1.55, 2002/07/24 17:00:55 version 1.77, 2003/05/16 16:49:47
Line 32 Line 32
   hPijx is the probability to be observed in state i at age x+h    hPijx is the probability to be observed in state i at age x+h
   conditional to the observed state i at age x. The delay 'h' can be    conditional to the observed state i at age x. The delay 'h' can be
   split into an exact number (nh*stepm) of unobserved intermediate    split into an exact number (nh*stepm) of unobserved intermediate
   states. This elementary transition (by month or quarter trimester,    states. This elementary transition (by month, quarter,
   semester or year) is model as a multinomial logistic.  The hPx    semester or year) is modelled as a multinomial logistic.  The hPx
   matrix is simply the matrix product of nh*stepm elementary matrices    matrix is simply the matrix product of nh*stepm elementary matrices
   and the contribution of each individual to the likelihood is simply    and the contribution of each individual to the likelihood is simply
   hPijx.    hPijx.
Line 48 Line 48
   It is copyrighted identically to a GNU software product, ie programme and    It is copyrighted identically to a GNU software product, ie programme and
   software can be distributed freely for non commercial use. Latest version    software can be distributed freely for non commercial use. Latest version
   can be accessed at http://euroreves.ined.fr/imach .    can be accessed at http://euroreves.ined.fr/imach .
   
     Help to debug: LD_PRELOAD=/usr/local/lib/libnjamd.so ./imach foo.imach
     or better on gdb : set env LD_PRELOAD=/usr/local/lib/libnjamd.so
     
   **********************************************************************/    **********************************************************************/
   /*
     main
     read parameterfile
     read datafile
     concatwav
     if (mle >= 1)
       mlikeli
     print results files
     if mle==1 
        computes hessian
     read end of parameter file: agemin, agemax, bage, fage, estepm
         begin-prev-date,...
     open gnuplot file
     open html file
     stable prevalence
      for age prevalim()
     h Pij x
     variance of p varprob
     forecasting if prevfcast==1 prevforecast call prevalence()
     health expectancies
     Variance-covariance of DFLE
     prevalence()
      movingaverage()
     varevsij() 
     if popbased==1 varevsij(,popbased)
     total life expectancies
     Variance of stable prevalence
    end
   */
   
   
   
     
 #include <math.h>  #include <math.h>
 #include <stdio.h>  #include <stdio.h>
Line 83 Line 119
 #define ODIRSEPARATOR '\\'  #define ODIRSEPARATOR '\\'
 #endif  #endif
   
 char version[80]="Imach version 0.8k, July 2002, INED-EUROREVES ";  char version[80]="Imach version 0.95a, May 2003, INED-EUROREVES ";
 int erreur; /* Error number */  int erreur; /* Error number */
 int nvar;  int nvar;
 int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;  int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;
Line 99  int jmin, jmax; /* min, max spacing betw Line 135  int jmin, jmax; /* min, max spacing betw
 int mle, weightopt;  int mle, weightopt;
 int **mw; /* mw[mi][i] is number of the mi wave for this individual */  int **mw; /* mw[mi][i] is number of the mi wave for this individual */
 int **dh; /* dh[mi][i] is number of steps between mi,mi+1 for this individual */  int **dh; /* dh[mi][i] is number of steps between mi,mi+1 for this individual */
   int **bh; /* bh[mi][i] is the bias (+ or -) for this individual if the delay between
              * wave mi and wave mi+1 is not an exact multiple of stepm. */
 double jmean; /* Mean space between 2 waves */  double jmean; /* Mean space between 2 waves */
 double **oldm, **newm, **savm; /* Working pointers to matrices */  double **oldm, **newm, **savm; /* Working pointers to matrices */
 double **oldms, **newms, **savms; /* Fixed working pointers to matrices */  double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
 FILE *fic,*ficpar, *ficparo,*ficres,  *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;  FILE *fic,*ficpar, *ficparo,*ficres,  *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
 FILE *ficlog;  FILE *ficlog, *ficrespow;
 FILE *ficgp,*ficresprob,*ficpop, *ficresprobcov, *ficresprobcor;  FILE *ficgp,*ficresprob,*ficpop, *ficresprobcov, *ficresprobcor;
 FILE *ficresprobmorprev;  FILE *ficresprobmorprev;
 FILE *fichtm; /* Html File */  FILE *fichtm; /* Html File */
Line 177  double ftolhess; /* Tolerance for comput Line 215  double ftolhess; /* Tolerance for comput
 /**************** split *************************/  /**************** split *************************/
 static  int split( char *path, char *dirc, char *name, char *ext, char *finame )  static  int split( char *path, char *dirc, char *name, char *ext, char *finame )
 {  {
    char *s;                             /* pointer */    char  *ss;                            /* pointer */
    int  l1, l2;                         /* length counters */    int   l1, l2;                         /* length counters */
   
    l1 = strlen( path );                 /* length of path */  
    if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );  
    s= strrchr( path, DIRSEPARATOR );            /* find last / */  
    if ( s == NULL ) {                   /* no directory, so use current */  
      /*if(strrchr(path, ODIRSEPARATOR )==NULL)  
        printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/  
 #if     defined(__bsd__)                /* get current working directory */  
       extern char       *getwd( );  
   
       if ( getwd( dirc ) == NULL ) {    l1 = strlen(path );                   /* length of path */
 #else    if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
       extern char       *getcwd( );    ss= strrchr( path, DIRSEPARATOR );            /* find last / */
     if ( ss == NULL ) {                   /* no directory, so use current */
       if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {      /*if(strrchr(path, ODIRSEPARATOR )==NULL)
 #endif        printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
          return( GLOCK_ERROR_GETCWD );      /* get current working directory */
       }      /*    extern  char* getcwd ( char *buf , int len);*/
       strcpy( name, path );             /* we've got it */      if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {
    } else {                             /* strip direcotry from path */        return( GLOCK_ERROR_GETCWD );
       s++;                              /* after this, the filename */      }
       l2 = strlen( s );                 /* length of filename */      strcpy( name, path );               /* we've got it */
       if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );    } else {                              /* strip direcotry from path */
       strcpy( name, s );                /* save file name */      ss++;                               /* after this, the filename */
       strncpy( dirc, path, l1 - l2 );   /* now the directory */      l2 = strlen( ss );                  /* length of filename */
       dirc[l1-l2] = 0;                  /* add zero */      if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );
    }      strcpy( name, ss );         /* save file name */
    l1 = strlen( dirc );                 /* length of directory */      strncpy( dirc, path, l1 - l2 );     /* now the directory */
       dirc[l1-l2] = 0;                    /* add zero */
     }
     l1 = strlen( dirc );                  /* length of directory */
 #ifdef windows  #ifdef windows
    if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }    if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }
 #else  #else
    if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }    if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }
 #endif  #endif
    s = strrchr( name, '.' );            /* find last / */    ss = strrchr( name, '.' );            /* find last / */
    s++;    ss++;
    strcpy(ext,s);                       /* save extension */    strcpy(ext,ss);                       /* save extension */
    l1= strlen( name);    l1= strlen( name);
    l2= strlen( s)+1;    l2= strlen(ss)+1;
    strncpy( finame, name, l1-l2);    strncpy( finame, name, l1-l2);
    finame[l1-l2]= 0;    finame[l1-l2]= 0;
    return( 0 );                         /* we're done */    return( 0 );                          /* we're done */
 }  }
   
   
Line 277  void nrerror(char error_text[]) Line 309  void nrerror(char error_text[])
 {  {
   fprintf(stderr,"ERREUR ...\n");    fprintf(stderr,"ERREUR ...\n");
   fprintf(stderr,"%s\n",error_text);    fprintf(stderr,"%s\n",error_text);
   exit(1);    exit(EXIT_FAILURE);
 }  }
 /*********************** vector *******************/  /*********************** vector *******************/
 double *vector(int nl, int nh)  double *vector(int nl, int nh)
Line 295  void free_vector(double*v, int nl, int n Line 327  void free_vector(double*v, int nl, int n
 }  }
   
 /************************ivector *******************************/  /************************ivector *******************************/
   char *cvector(long nl,long nh)
   {
     char *v;
     v=(char *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(char)));
     if (!v) nrerror("allocation failure in cvector");
     return v-nl+NR_END;
   }
   
   /******************free ivector **************************/
   void free_cvector(char *v, long nl, long nh)
   {
     free((FREE_ARG)(v+nl-NR_END));
   }
   
   /************************ivector *******************************/
 int *ivector(long nl,long nh)  int *ivector(long nl,long nh)
 {  {
   int *v;    int *v;
Line 363  double **matrix(long nrl, long nrh, long Line 410  double **matrix(long nrl, long nrh, long
   
   for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;    for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
   return m;    return m;
     /* print *(*(m+1)+70) ou print m[1][70]; print m+1 or print &(m[1]) 
      */
 }  }
   
 /*************************free matrix ************************/  /*************************free matrix ************************/
Line 402  double ***ma3x(long nrl, long nrh, long Line 451  double ***ma3x(long nrl, long nrh, long
     for (j=ncl+1; j<=nch; j++)       for (j=ncl+1; j<=nch; j++) 
       m[i][j]=m[i][j-1]+nlay;        m[i][j]=m[i][j-1]+nlay;
   }    }
   return m;    return m; 
     /*  gdb: p *(m+1) <=> p m[1] and p (m+1) <=> p (m+1) <=> p &(m[1])
              &(m[i][j][k]) <=> *((*(m+i) + j)+k)
     */
 }  }
   
 /*************************free ma3x ************************/  /*************************free ma3x ************************/
Line 610  void powell(double p[], double **xi, int Line 662  void powell(double p[], double **xi, int
     del=0.0;       del=0.0; 
     printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);      printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);
     fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f",*iter,*fret);      fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f",*iter,*fret);
     for (i=1;i<=n;i++)       fprintf(ficrespow,"%d %.12f",*iter,*fret);
       for (i=1;i<=n;i++) {
       printf(" %d %.12f",i, p[i]);        printf(" %d %.12f",i, p[i]);
     fprintf(ficlog," %d %.12f",i, p[i]);        fprintf(ficlog," %d %.12lf",i, p[i]);
         fprintf(ficrespow," %.12lf", p[i]);
       }
     printf("\n");      printf("\n");
     fprintf(ficlog,"\n");      fprintf(ficlog,"\n");
       fprintf(ficrespow,"\n");
     for (i=1;i<=n;i++) {       for (i=1;i<=n;i++) { 
       for (j=1;j<=n;j++) xit[j]=xi[j][i];         for (j=1;j<=n;j++) xit[j]=xi[j][i]; 
       fptt=(*fret);         fptt=(*fret); 
Line 854  double **matprod2(double **out, double * Line 910  double **matprod2(double **out, double *
   
 double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )  double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )
 {  {
   /* Computes the transition matrix starting at age 'age' over 'nhstepm*hstepm*stepm' month     /* Computes the transition matrix starting at age 'age' over 
      duration (i.e. until       'nhstepm*hstepm*stepm' months (i.e. until
      age (in years)  age+nhstepm*stepm/12) by multiplying nhstepm*hstepm matrices.        age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying 
        nhstepm*hstepm matrices. 
      Output is stored in matrix po[i][j][h] for h every 'hstepm' step        Output is stored in matrix po[i][j][h] for h every 'hstepm' step 
      (typically every 2 years instead of every month which is too big).       (typically every 2 years instead of every month which is too big 
        for the memory).
      Model is determined by parameters x and covariates have to be        Model is determined by parameters x and covariates have to be 
      included manually here.        included manually here. 
   
Line 914  double func( double *x) Line 972  double func( double *x)
   double **out;    double **out;
   double sw; /* Sum of weights */    double sw; /* Sum of weights */
   double lli; /* Individual log likelihood */    double lli; /* Individual log likelihood */
     int s1, s2;
     double bbh, survp;
   long ipmx;    long ipmx;
   /*extern weight */    /*extern weight */
   /* We are differentiating ll according to initial status */    /* We are differentiating ll according to initial status */
Line 924  double func( double *x) Line 984  double func( double *x)
   cov[1]=1.;    cov[1]=1.;
   
   for(k=1; k<=nlstate; k++) ll[k]=0.;    for(k=1; k<=nlstate; k++) ll[k]=0.;
   for (i=1,ipmx=0, sw=0.; i<=imx; i++){  
     for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];    if(mle==1){
     for(mi=1; mi<= wav[i]-1; mi++){      for (i=1,ipmx=0, sw=0.; i<=imx; i++){
       for (ii=1;ii<=nlstate+ndeath;ii++)        for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
         for (j=1;j<=nlstate+ndeath;j++) oldm[ii][j]=(ii==j ? 1.0 : 0.0);        for(mi=1; mi<= wav[i]-1; mi++){
       for(d=0; d<dh[mi][i]; d++){          for (ii=1;ii<=nlstate+ndeath;ii++)
         newm=savm;            for (j=1;j<=nlstate+ndeath;j++){
         cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;              oldm[ii][j]=(ii==j ? 1.0 : 0.0);
         for (kk=1; kk<=cptcovage;kk++) {              savm[ii][j]=(ii==j ? 1.0 : 0.0);
           cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];            }
         }          for(d=0; d<dh[mi][i]; d++){
                     newm=savm;
         out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,            cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
                      1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));            for (kk=1; kk<=cptcovage;kk++) {
         savm=oldm;              cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
         oldm=newm;            }
                     out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
                          1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
             savm=oldm;
             oldm=newm;
           } /* end mult */
         
           /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */
           /* But now since version 0.9 we anticipate for bias and large stepm.
            * If stepm is larger than one month (smallest stepm) and if the exact delay 
            * (in months) between two waves is not a multiple of stepm, we rounded to 
            * the nearest (and in case of equal distance, to the lowest) interval but now
            * we keep into memory the bias bh[mi][i] and also the previous matrix product
            * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
            * probability in order to take into account the bias as a fraction of the way
            * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
            * -stepm/2 to stepm/2 .
            * For stepm=1 the results are the same as for previous versions of Imach.
            * For stepm > 1 the results are less biased than in previous versions. 
            */
           s1=s[mw[mi][i]][i];
           s2=s[mw[mi+1][i]][i];
           bbh=(double)bh[mi][i]/(double)stepm; 
           /* bias is positive if real duration
            * is higher than the multiple of stepm and negative otherwise.
            */
           /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/
           if( s2 > nlstate){ 
             /* i.e. if s2 is a death state and if the date of death is known then the contribution
                to the likelihood is the probability to die between last step unit time and current 
                step unit time, which is also the differences between probability to die before dh 
                and probability to die before dh-stepm . 
                In version up to 0.92 likelihood was computed
           as if date of death was unknown. Death was treated as any other
           health state: the date of the interview describes the actual state
           and not the date of a change in health state. The former idea was
           to consider that at each interview the state was recorded
           (healthy, disable or death) and IMaCh was corrected; but when we
           introduced the exact date of death then we should have modified
           the contribution of an exact death to the likelihood. This new
           contribution is smaller and very dependent of the step unit
           stepm. It is no more the probability to die between last interview
           and month of death but the probability to survive from last
           interview up to one month before death multiplied by the
           probability to die within a month. Thanks to Chris
           Jackson for correcting this bug.  Former versions increased
           mortality artificially. The bad side is that we add another loop
           which slows down the processing. The difference can be up to 10%
           lower mortality.
             */
             lli=log(out[s1][s2] - savm[s1][s2]);
           }else{
             lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
             /*  lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */
           } 
           /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/
           /*if(lli ==000.0)*/
           /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */
           ipmx +=1;
           sw += weight[i];
           ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
         } /* end of wave */
       } /* end of individual */
     }  else if(mle==2){
       for (i=1,ipmx=0, sw=0.; i<=imx; i++){
         for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
         for(mi=1; mi<= wav[i]-1; mi++){
           for (ii=1;ii<=nlstate+ndeath;ii++)
             for (j=1;j<=nlstate+ndeath;j++){
               oldm[ii][j]=(ii==j ? 1.0 : 0.0);
               savm[ii][j]=(ii==j ? 1.0 : 0.0);
             }
           for(d=0; d<=dh[mi][i]; d++){
             newm=savm;
             cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
             for (kk=1; kk<=cptcovage;kk++) {
               cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
             }
             out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
                          1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
             savm=oldm;
             oldm=newm;
           } /* end mult */
         
           /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */
           /* But now since version 0.9 we anticipate for bias and large stepm.
            * If stepm is larger than one month (smallest stepm) and if the exact delay 
            * (in months) between two waves is not a multiple of stepm, we rounded to 
            * the nearest (and in case of equal distance, to the lowest) interval but now
            * we keep into memory the bias bh[mi][i] and also the previous matrix product
            * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
            * probability in order to take into account the bias as a fraction of the way
            * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
            * -stepm/2 to stepm/2 .
            * For stepm=1 the results are the same as for previous versions of Imach.
            * For stepm > 1 the results are less biased than in previous versions. 
            */
           s1=s[mw[mi][i]][i];
           s2=s[mw[mi+1][i]][i];
           bbh=(double)bh[mi][i]/(double)stepm; 
           /* bias is positive if real duration
            * is higher than the multiple of stepm and negative otherwise.
            */
           lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
           /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/
           /*lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.-+bh)*out[s1][s2])); */ /* exponential interpolation */
           /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/
           /*if(lli ==000.0)*/
           /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */
           ipmx +=1;
           sw += weight[i];
           ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
         } /* end of wave */
       } /* end of individual */
     }  else if(mle==3){  /* exponential inter-extrapolation */
       for (i=1,ipmx=0, sw=0.; i<=imx; i++){
         for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
         for(mi=1; mi<= wav[i]-1; mi++){
           for (ii=1;ii<=nlstate+ndeath;ii++)
             for (j=1;j<=nlstate+ndeath;j++){
               oldm[ii][j]=(ii==j ? 1.0 : 0.0);
               savm[ii][j]=(ii==j ? 1.0 : 0.0);
             }
           for(d=0; d<dh[mi][i]; d++){
             newm=savm;
             cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
             for (kk=1; kk<=cptcovage;kk++) {
               cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
             }
             out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
                          1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
             savm=oldm;
             oldm=newm;
           } /* end mult */
         
           /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */
           /* But now since version 0.9 we anticipate for bias and large stepm.
            * If stepm is larger than one month (smallest stepm) and if the exact delay 
            * (in months) between two waves is not a multiple of stepm, we rounded to 
            * the nearest (and in case of equal distance, to the lowest) interval but now
            * we keep into memory the bias bh[mi][i] and also the previous matrix product
            * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
            * probability in order to take into account the bias as a fraction of the way
            * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
            * -stepm/2 to stepm/2 .
            * For stepm=1 the results are the same as for previous versions of Imach.
            * For stepm > 1 the results are less biased than in previous versions. 
            */
           s1=s[mw[mi][i]][i];
           s2=s[mw[mi+1][i]][i];
           bbh=(double)bh[mi][i]/(double)stepm; 
           /* bias is positive if real duration
            * is higher than the multiple of stepm and negative otherwise.
            */
           /* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); */ /* linear interpolation */
           lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
           /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/
           /*if(lli ==000.0)*/
           /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */
           ipmx +=1;
           sw += weight[i];
           ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
         } /* end of wave */
       } /* end of individual */
     }else{  /* ml=4 no inter-extrapolation */
       for (i=1,ipmx=0, sw=0.; i<=imx; i++){
         for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
         for(mi=1; mi<= wav[i]-1; mi++){
           for (ii=1;ii<=nlstate+ndeath;ii++)
             for (j=1;j<=nlstate+ndeath;j++){
               oldm[ii][j]=(ii==j ? 1.0 : 0.0);
               savm[ii][j]=(ii==j ? 1.0 : 0.0);
             }
           for(d=0; d<dh[mi][i]; d++){
             newm=savm;
             cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
             for (kk=1; kk<=cptcovage;kk++) {
               cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
             }
                   
       } /* end mult */            out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
                          1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
             savm=oldm;
             oldm=newm;
           } /* end mult */
               
       lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);          lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
       /* printf(" %f ",out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/          ipmx +=1;
       ipmx +=1;          sw += weight[i];
       sw += weight[i];          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
       ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;        } /* end of wave */
     } /* end of wave */      } /* end of individual */
   } /* end of individual */    } /* End of if */
   
   for(k=1,l=0.; k<=nlstate; k++) l += ll[k];    for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
   /* printf("l1=%f l2=%f ",ll[1],ll[2]); */    /* printf("l1=%f l2=%f ",ll[1],ll[2]); */
   l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */    l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */
Line 964  double func( double *x) Line 1204  double func( double *x)
 void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))  void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))
 {  {
   int i,j, iter;    int i,j, iter;
   double **xi,*delti;    double **xi;
   double fret;    double fret;
     char filerespow[FILENAMELENGTH];
   xi=matrix(1,npar,1,npar);    xi=matrix(1,npar,1,npar);
   for (i=1;i<=npar;i++)    for (i=1;i<=npar;i++)
     for (j=1;j<=npar;j++)      for (j=1;j<=npar;j++)
       xi[i][j]=(i==j ? 1.0 : 0.0);        xi[i][j]=(i==j ? 1.0 : 0.0);
   printf("Powell\n");  fprintf(ficlog,"Powell\n");    printf("Powell\n");  fprintf(ficlog,"Powell\n");
     strcpy(filerespow,"pow"); 
     strcat(filerespow,fileres);
     if((ficrespow=fopen(filerespow,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", filerespow);
       fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
     }
     fprintf(ficrespow,"# Powell\n# iter -2*LL");
     for (i=1;i<=nlstate;i++)
       for(j=1;j<=nlstate+ndeath;j++)
         if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
     fprintf(ficrespow,"\n");
   powell(p,xi,npar,ftol,&iter,&fret,func);    powell(p,xi,npar,ftol,&iter,&fret,func);
   
    printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));    fclose(ficrespow);
   fprintf(ficlog,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));    printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
     fprintf(ficlog,"\n#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
   fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));    fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
   
 }  }
Line 1237  void lubksb(double **a, int n, int *indx Line 1490  void lubksb(double **a, int n, int *indx
 }   } 
   
 /************ Frequencies ********************/  /************ Frequencies ********************/
 void  freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2)  void  freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2)
 {  /* Some frequencies */  {  /* Some frequencies */
       
   int i, m, jk, k1,i1, j1, bool, z1,z2,j;    int i, m, jk, k1,i1, j1, bool, z1,z2,j;
   int first;    int first;
   double ***freq; /* Frequencies */    double ***freq; /* Frequencies */
   double *pp;    double *pp, **prop;
   double pos, k2, dateintsum=0,k2cpt=0;    double pos,posprop, k2, dateintsum=0,k2cpt=0;
   FILE *ficresp;    FILE *ficresp;
   char fileresp[FILENAMELENGTH];    char fileresp[FILENAMELENGTH];
       
   pp=vector(1,nlstate);    pp=vector(1,nlstate);
   probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);    prop=matrix(1,nlstate,iagemin,iagemax+3);
   strcpy(fileresp,"p");    strcpy(fileresp,"p");
   strcat(fileresp,fileres);    strcat(fileresp,fileres);
   if((ficresp=fopen(fileresp,"w"))==NULL) {    if((ficresp=fopen(fileresp,"w"))==NULL) {
Line 1257  void  freqsummary(char fileres[], int ag Line 1510  void  freqsummary(char fileres[], int ag
     fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);      fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
     exit(0);      exit(0);
   }    }
   freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);    freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);
   j1=0;    j1=0;
       
   j=cptcoveff;    j=cptcoveff;
Line 1272  void  freqsummary(char fileres[], int ag Line 1525  void  freqsummary(char fileres[], int ag
         scanf("%d", i);*/          scanf("%d", i);*/
       for (i=-1; i<=nlstate+ndeath; i++)          for (i=-1; i<=nlstate+ndeath; i++)  
         for (jk=-1; jk<=nlstate+ndeath; jk++)            for (jk=-1; jk<=nlstate+ndeath; jk++)  
           for(m=agemin; m <= agemax+3; m++)            for(m=iagemin; m <= iagemax+3; m++)
             freq[i][jk][m]=0;              freq[i][jk][m]=0;
   
       for (i=1; i<=nlstate; i++)  
         for(m=iagemin; m <= iagemax+3; m++)
           prop[i][m]=0;
               
       dateintsum=0;        dateintsum=0;
       k2cpt=0;        k2cpt=0;
Line 1284  void  freqsummary(char fileres[], int ag Line 1541  void  freqsummary(char fileres[], int ag
             if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])               if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) 
               bool=0;                bool=0;
         }          }
         if (bool==1) {          if (bool==1){
           for(m=firstpass; m<=lastpass; m++){            for(m=firstpass; m<=lastpass; m++){
             k2=anint[m][i]+(mint[m][i]/12.);              k2=anint[m][i]+(mint[m][i]/12.);
             if ((k2>=dateprev1) && (k2<=dateprev2)) {              if ((k2>=dateprev1) && (k2<=dateprev2)) {
               if(agev[m][i]==0) agev[m][i]=agemax+1;                if(agev[m][i]==0) agev[m][i]=iagemax+1;
               if(agev[m][i]==1) agev[m][i]=agemax+2;                if(agev[m][i]==1) agev[m][i]=iagemax+2;
                 if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i];
               if (m<lastpass) {                if (m<lastpass) {
                 freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];                  freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
                 freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];                  freq[s[m][i]][s[m+1][i]][iagemax+3] += weight[i];
               }                }
                               
               if ((agev[m][i]>1) && (agev[m][i]< (agemax+3))) {                if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3))) {
                 dateintsum=dateintsum+k2;                  dateintsum=dateintsum+k2;
                 k2cpt++;                  k2cpt++;
               }                }
Line 1315  void  freqsummary(char fileres[], int ag Line 1573  void  freqsummary(char fileres[], int ag
         fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);          fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
       fprintf(ficresp, "\n");        fprintf(ficresp, "\n");
               
       for(i=(int)agemin; i <= (int)agemax+3; i++){        for(i=iagemin; i <= iagemax+3; i++){
         if(i==(int)agemax+3){          if(i==iagemax+3){
           fprintf(ficlog,"Total");            fprintf(ficlog,"Total");
         }else{          }else{
           if(first==1){            if(first==1){
Line 1347  void  freqsummary(char fileres[], int ag Line 1605  void  freqsummary(char fileres[], int ag
         for(jk=1; jk <=nlstate ; jk++){          for(jk=1; jk <=nlstate ; jk++){
           for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)            for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
             pp[jk] += freq[jk][m][i];              pp[jk] += freq[jk][m][i];
         }          }       
           for(jk=1,pos=0,posprop=0; jk <=nlstate ; jk++){
         for(jk=1,pos=0; jk <=nlstate ; jk++)  
           pos += pp[jk];            pos += pp[jk];
             posprop += prop[jk][i];
           }
         for(jk=1; jk <=nlstate ; jk++){          for(jk=1; jk <=nlstate ; jk++){
           if(pos>=1.e-5){            if(pos>=1.e-5){
             if(first==1)              if(first==1)
Line 1361  void  freqsummary(char fileres[], int ag Line 1620  void  freqsummary(char fileres[], int ag
               printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);                printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
             fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);              fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
           }            }
           if( i <= (int) agemax){            if( i <= iagemax){
             if(pos>=1.e-5){              if(pos>=1.e-5){
               fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);                fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop);
               probs[i][jk][j1]= pp[jk]/pos;                probs[i][jk][j1]= pp[jk]/pos;
               /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/                /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/
             }              }
             else              else
               fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);                fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop);
           }            }
         }          }
                   
Line 1379  void  freqsummary(char fileres[], int ag Line 1638  void  freqsummary(char fileres[], int ag
               printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);                printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
               fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);                fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);
             }              }
         if(i <= (int) agemax)          if(i <= iagemax)
           fprintf(ficresp,"\n");            fprintf(ficresp,"\n");
         if(first==1)          if(first==1)
           printf("Others in log...\n");            printf("Others in log...\n");
Line 1390  void  freqsummary(char fileres[], int ag Line 1649  void  freqsummary(char fileres[], int ag
   dateintmean=dateintsum/k2cpt;     dateintmean=dateintsum/k2cpt; 
     
   fclose(ficresp);    fclose(ficresp);
   free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);    free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);
   free_vector(pp,1,nlstate);    free_vector(pp,1,nlstate);
       free_matrix(prop,1,nlstate,iagemin, iagemax+3);
   /* End of Freq */    /* End of Freq */
 }  }
   
 /************ Prevalence ********************/  /************ Prevalence ********************/
 void prevalence(int agemin, float agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, double calagedate)  void prevalence(double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass)
 {  /* Some frequencies */  {  
     /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people
        in each health status at the date of interview (if between dateprev1 and dateprev2).
        We still use firstpass and lastpass as another selection.
     */
     
   int i, m, jk, k1, i1, j1, bool, z1,z2,j;    int i, m, jk, k1, i1, j1, bool, z1,z2,j;
   double ***freq; /* Frequencies */    double ***freq; /* Frequencies */
   double *pp;    double *pp, **prop;
   double pos, k2;    double pos,posprop; 
     double  y2; /* in fractional years */
   pp=vector(1,nlstate);    int iagemin, iagemax;
     
   freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);    iagemin= (int) agemin;
     iagemax= (int) agemax;
     /*pp=vector(1,nlstate);*/
     prop=matrix(1,nlstate,iagemin,iagemax+3); 
     /*  freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
   j1=0;    j1=0;
       
   j=cptcoveff;    j=cptcoveff;
Line 1417  void prevalence(int agemin, float agemax Line 1684  void prevalence(int agemin, float agemax
     for(i1=1; i1<=ncodemax[k1];i1++){      for(i1=1; i1<=ncodemax[k1];i1++){
       j1++;        j1++;
               
       for (i=-1; i<=nlstate+ndeath; i++)          for (i=1; i<=nlstate; i++)  
         for (jk=-1; jk<=nlstate+ndeath; jk++)            for(m=iagemin; m <= iagemax+3; m++)
           for(m=agemin; m <= agemax+3; m++)            prop[i][m]=0.0;
             freq[i][jk][m]=0;  
             
       for (i=1; i<=imx; i++) {        for (i=1; i<=imx; i++) { /* Each individual */
         bool=1;          bool=1;
         if  (cptcovn>0) {          if  (cptcovn>0) {
           for (z1=1; z1<=cptcoveff; z1++)             for (z1=1; z1<=cptcoveff; z1++) 
Line 1430  void prevalence(int agemin, float agemax Line 1696  void prevalence(int agemin, float agemax
               bool=0;                bool=0;
         }           } 
         if (bool==1) {           if (bool==1) { 
           for(m=firstpass; m<=lastpass; m++){            for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/
             k2=anint[m][i]+(mint[m][i]/12.);              y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */
             if ((k2>=dateprev1) && (k2<=dateprev2)) {              if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */
               if(agev[m][i]==0) agev[m][i]=agemax+1;                if(agev[m][i]==0) agev[m][i]=iagemax+1;
               if(agev[m][i]==1) agev[m][i]=agemax+2;                if(agev[m][i]==1) agev[m][i]=iagemax+2;
               if (m<lastpass) {                if((int)agev[m][i] <iagemin || (int)agev[m][i] >iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m); 
                 if (calagedate>0)                 if (s[m][i]>0 && s[m][i]<=nlstate) { 
                   freq[s[m][i]][s[m+1][i]][(int)(agev[m][i]+1-((int)calagedate %12)/12.)] += weight[i];                  /*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/
                 else                  prop[s[m][i]][(int)agev[m][i]] += weight[i];
                   freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];                  prop[s[m][i]][iagemax+3] += weight[i]; 
                 freq[s[m][i]][s[m+1][i]][(int)(agemax+3)] += weight[i];                 } 
               }  
             }              }
           }            } /* end selection of waves */
         }          }
       }        }
       for(i=(int)agemin; i <= (int)agemax+3; i++){         for(i=iagemin; i <= iagemax+3; i++){  
         for(jk=1; jk <=nlstate ; jk++){  
           for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)  
             pp[jk] += freq[jk][m][i];   
         }  
         for(jk=1; jk <=nlstate ; jk++){  
           for(m=-1, pos=0; m <=0 ; m++)  
             pos += freq[jk][m][i];  
         }  
           
         for(jk=1; jk <=nlstate ; jk++){  
           for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)  
             pp[jk] += freq[jk][m][i];  
         }  
           
         for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk];  
                   
         for(jk=1; jk <=nlstate ; jk++){              for(jk=1,posprop=0; jk <=nlstate ; jk++) { 
           if( i <= (int) agemax){            posprop += prop[jk][i]; 
             if(pos>=1.e-5){          } 
               probs[i][jk][j1]= pp[jk]/pos;  
             }          for(jk=1; jk <=nlstate ; jk++){     
           }            if( i <=  iagemax){ 
         }/* end jk */              if(posprop>=1.e-5){ 
       }/* end i */                probs[i][jk][j1]= prop[jk][i]/posprop;
               } 
             } 
           }/* end jk */ 
         }/* end i */ 
     } /* end i1 */      } /* end i1 */
   } /* end k1 */    } /* end k1 */
   
       
   free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);    /*  free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
   free_vector(pp,1,nlstate);    /*free_vector(pp,1,nlstate);*/
       free_matrix(prop,1,nlstate, iagemin,iagemax+3);
 }  /* End of Freq */  }  /* End of prevalence */
   
 /************* Waves Concatenation ***************/  /************* Waves Concatenation ***************/
   
 void  concatwav(int wav[], int **dh, int **mw, int **s, double *agedc, double **agev, int  firstpass, int lastpass, int imx, int nlstate, int stepm)  void  concatwav(int wav[], int **dh, int **bh,  int **mw, int **s, double *agedc, double **agev, int  firstpass, int lastpass, int imx, int nlstate, int stepm)
 {  {
   /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.    /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.
      Death is a valid wave (if date is known).       Death is a valid wave (if date is known).
      mw[mi][i] is the mi (mi=1 to wav[i])  effective wave of individual i       mw[mi][i] is the mi (mi=1 to wav[i])  effective wave of individual i
      dh[m][i] of dh[mw[mi][i][i] is the delay between two effective waves m=mw[mi][i]       dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i]
      and mw[mi+1][i]. dh depends on stepm.       and mw[mi+1][i]. dh depends on stepm.
      */       */
   
Line 1522  void  concatwav(int wav[], int **dh, int Line 1775  void  concatwav(int wav[], int **dh, int
     wav[i]=mi;      wav[i]=mi;
     if(mi==0){      if(mi==0){
       if(first==0){        if(first==0){
         printf("Warning, no any valid information for:%d line=%d and may be others, see log file\n",num[i],i);          printf("Warning! None valid information for:%d line=%d (skipped) and may be others, see log file\n",num[i],i);
         first=1;          first=1;
       }        }
       if(first==1){        if(first==1){
         fprintf(ficlog,"Warning, no any valid information for:%d line=%d\n",num[i],i);          fprintf(ficlog,"Warning! None valid information for:%d line=%d (skipped)\n",num[i],i);
       }        }
     } /* end mi==0 */      } /* end mi==0 */
   }    } /* End individuals */
   
   for(i=1; i<=imx; i++){    for(i=1; i<=imx; i++){
     for(mi=1; mi<wav[i];mi++){      for(mi=1; mi<wav[i];mi++){
       if (stepm <=0)        if (stepm <=0)
         dh[mi][i]=1;          dh[mi][i]=1;
       else{        else{
         if (s[mw[mi+1][i]][i] > nlstate) {          if (s[mw[mi+1][i]][i] > nlstate) { /* A death */
           if (agedc[i] < 2*AGESUP) {            if (agedc[i] < 2*AGESUP) {
           j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12);             j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); 
           if(j==0) j=1;  /* Survives at least one month after exam */            if(j==0) j=1;  /* Survives at least one month after exam */
Line 1544  void  concatwav(int wav[], int **dh, int Line 1797  void  concatwav(int wav[], int **dh, int
           if (j >= jmax) jmax=j;            if (j >= jmax) jmax=j;
           if (j <= jmin) jmin=j;            if (j <= jmin) jmin=j;
           sum=sum+j;            sum=sum+j;
           /*if (j<0) printf("j=%d num=%d \n",j,i); */            /*if (j<0) printf("j=%d num=%d \n",j,i);*/
             /*      printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/
             if(j<0)printf("Warning! Negative delay (%d) between waves %d and %d of individual at line %d who is aged %.1f with statuses %d %d\n ",j,mw[mi][i],mw[mi+1][i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
           }            }
         }          }
         else{          else{
           j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));            j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));
             /*      printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/
           k=k+1;            k=k+1;
           if (j >= jmax) jmax=j;            if (j >= jmax) jmax=j;
           else if (j <= jmin)jmin=j;            else if (j <= jmin)jmin=j;
           /*        if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */            /*        if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */
             /*printf("%d %lf %d %d %d\n", i,agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);*/
             if(j<0)printf("Warning! Negative delay (%d to death) between waves %d and %d of individual at line %d who is aged %.1f with statuses %d %d\n ",j,mw[mi][i],mw[mi+1][i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
           sum=sum+j;            sum=sum+j;
         }          }
         jk= j/stepm;          jk= j/stepm;
         jl= j -jk*stepm;          jl= j -jk*stepm;
         ju= j -(jk+1)*stepm;          ju= j -(jk+1)*stepm;
         if(jl <= -ju)          if(mle <=1){ 
           dh[mi][i]=jk;            if(jl==0){
         else              dh[mi][i]=jk;
           dh[mi][i]=jk+1;              bh[mi][i]=0;
         if(dh[mi][i]==0)            }else{ /* We want a negative bias in order to only have interpolation ie
           dh[mi][i]=1; /* At least one step */                    * at the price of an extra matrix product in likelihood */
       }              dh[mi][i]=jk+1;
     }              bh[mi][i]=ju;
             }
           }else{
             if(jl <= -ju){
               dh[mi][i]=jk;
               bh[mi][i]=jl;       /* bias is positive if real duration
                                    * is higher than the multiple of stepm and negative otherwise.
                                    */
             }
             else{
               dh[mi][i]=jk+1;
               bh[mi][i]=ju;
             }
             if(dh[mi][i]==0){
               dh[mi][i]=1; /* At least one step */
               bh[mi][i]=ju; /* At least one step */
               /*  printf(" bh=%d ju=%d jl=%d dh=%d jk=%d stepm=%d %d\n",bh[mi][i],ju,jl,dh[mi][i],jk,stepm,i);*/
             }
           }
         } /* end if mle */
       } /* end wave */
   }    }
   jmean=sum/k;    jmean=sum/k;
   printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);    printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);
Line 1575  void  concatwav(int wav[], int **dh, int Line 1853  void  concatwav(int wav[], int **dh, int
 /*********** Tricode ****************************/  /*********** Tricode ****************************/
 void tricode(int *Tvar, int **nbcode, int imx)  void tricode(int *Tvar, int **nbcode, int imx)
 {  {
   int Ndum[20],ij=1, k, j, i;    
     int Ndum[20],ij=1, k, j, i, maxncov=19;
   int cptcode=0;    int cptcode=0;
   cptcoveff=0;     cptcoveff=0; 
     
   for (k=0; k<19; k++) Ndum[k]=0;    for (k=0; k<maxncov; k++) Ndum[k]=0;
   for (k=1; k<=7; k++) ncodemax[k]=0;    for (k=1; k<=7; k++) ncodemax[k]=0;
   
   for (j=1; j<=(cptcovn+2*cptcovprod); j++) {    for (j=1; j<=(cptcovn+2*cptcovprod); j++) {
     for (i=1; i<=imx; i++) {      for (i=1; i<=imx; i++) { /*reads the data file to get the maximum 
       ij=(int)(covar[Tvar[j]][i]);                                 modality*/ 
       Ndum[ij]++;         ij=(int)(covar[Tvar[j]][i]); /* ij is the modality of this individual*/
         Ndum[ij]++; /*store the modality */
       /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/        /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
       if (ij > cptcode) cptcode=ij;         if (ij > cptcode) cptcode=ij; /* getting the maximum of covariable 
                                          Tvar[j]. If V=sex and male is 0 and 
                                          female is 1, then  cptcode=1.*/
     }      }
   
     for (i=0; i<=cptcode; i++) {      for (i=0; i<=cptcode; i++) {
       if(Ndum[i]!=0) ncodemax[j]++;        if(Ndum[i]!=0) ncodemax[j]++; /* Nomber of modalities of the j th covariates. In fact ncodemax[j]=2 (dichotom. variables) but it can be more */
     }      }
     ij=1;   
   
   
       ij=1; 
     for (i=1; i<=ncodemax[j]; i++) {      for (i=1; i<=ncodemax[j]; i++) {
       for (k=0; k<=19; k++) {        for (k=0; k<= maxncov; k++) {
         if (Ndum[k] != 0) {          if (Ndum[k] != 0) {
           nbcode[Tvar[j]][ij]=k;             nbcode[Tvar[j]][ij]=k; 
             /* store the modality in an array. k is a modality. If we have model=V1+V1*sex then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */
                       
           ij++;            ij++;
         }          }
Line 1608  void tricode(int *Tvar, int **nbcode, in Line 1890  void tricode(int *Tvar, int **nbcode, in
     }       } 
   }      }  
   
  for (k=0; k<19; k++) Ndum[k]=0;   for (k=0; k< maxncov; k++) Ndum[k]=0;
   
  for (i=1; i<=ncovmodel-2; i++) {   for (i=1; i<=ncovmodel-2; i++) { 
      /* Listing of all covariables in staement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
    ij=Tvar[i];     ij=Tvar[i];
    Ndum[ij]++;      Ndum[ij]++;
  }   }
   
  ij=1;   ij=1;
  for (i=1; i<=10; i++) {   for (i=1; i<= maxncov; i++) {
    if((Ndum[i]!=0) && (i<=ncovcol)){     if((Ndum[i]!=0) && (i<=ncovcol)){
      Tvaraff[ij]=i;        Tvaraff[ij]=i; /*For printing */
      ij++;       ij++;
    }     }
  }   }
     
  cptcoveff=ij-1;   cptcoveff=ij-1; /*Number of simple covariates*/
 }  }
   
 /*********** Health Expectancies ****************/  /*********** Health Expectancies ****************/
Line 1641  void evsij(char fileres[], double ***eij Line 1924  void evsij(char fileres[], double ***eij
   double ***gradg, ***trgradg;    double ***gradg, ***trgradg;
   int theta;    int theta;
   
   varhe=ma3x(1,nlstate*2,1,nlstate*2,(int) bage, (int) fage);    varhe=ma3x(1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int) fage);
   xp=vector(1,npar);    xp=vector(1,npar);
   dnewm=matrix(1,nlstate*2,1,npar);    dnewm=matrix(1,nlstate*nlstate,1,npar);
   doldm=matrix(1,nlstate*2,1,nlstate*2);    doldm=matrix(1,nlstate*nlstate,1,nlstate*nlstate);
       
   fprintf(ficreseij,"# Health expectancies\n");    fprintf(ficreseij,"# Health expectancies\n");
   fprintf(ficreseij,"# Age");    fprintf(ficreseij,"# Age");
Line 1661  void evsij(char fileres[], double ***eij Line 1944  void evsij(char fileres[], double ***eij
    * This is mainly to measure the difference between two models: for example     * This is mainly to measure the difference between two models: for example
    * if stepm=24 months pijx are given only every 2 years and by summing them     * if stepm=24 months pijx are given only every 2 years and by summing them
    * we are calculating an estimate of the Life Expectancy assuming a linear      * we are calculating an estimate of the Life Expectancy assuming a linear 
    * progression inbetween and thus overestimating or underestimating according     * progression in between and thus overestimating or underestimating according
    * to the curvature of the survival function. If, for the same date, we      * to the curvature of the survival function. If, for the same date, we 
    * estimate the model with stepm=1 month, we can keep estepm to 24 months     * estimate the model with stepm=1 month, we can keep estepm to 24 months
    * to compare the new estimate of Life expectancy with the same linear      * to compare the new estimate of Life expectancy with the same linear 
Line 1690  void evsij(char fileres[], double ***eij Line 1973  void evsij(char fileres[], double ***eij
     /* if (stepm >= YEARM) hstepm=1;*/      /* if (stepm >= YEARM) hstepm=1;*/
     nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */      nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
     p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);      p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
     gradg=ma3x(0,nhstepm,1,npar,1,nlstate*2);      gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
     gp=matrix(0,nhstepm,1,nlstate*2);      gp=matrix(0,nhstepm,1,nlstate*nlstate);
     gm=matrix(0,nhstepm,1,nlstate*2);      gm=matrix(0,nhstepm,1,nlstate*nlstate);
   
     /* Computed by stepm unit matrices, product of hstepm matrices, stored      /* Computed by stepm unit matrices, product of hstepm matrices, stored
        in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */         in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
Line 1729  void evsij(char fileres[], double ***eij Line 2012  void evsij(char fileres[], double ***eij
         for(i=1;i<=nlstate;i++){          for(i=1;i<=nlstate;i++){
           cptj=cptj+1;            cptj=cptj+1;
           for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){            for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){
   
             gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;              gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
           }            }
         }          }
       }        }
       for(j=1; j<= nlstate*2; j++)        for(j=1; j<= nlstate*nlstate; j++)
         for(h=0; h<=nhstepm-1; h++){          for(h=0; h<=nhstepm-1; h++){
           gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];            gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
         }          }
Line 1741  void evsij(char fileres[], double ***eij Line 2025  void evsij(char fileres[], double ***eij
         
 /* End theta */  /* End theta */
   
      trgradg =ma3x(0,nhstepm,1,nlstate*2,1,npar);       trgradg =ma3x(0,nhstepm,1,nlstate*nlstate,1,npar);
   
      for(h=0; h<=nhstepm-1; h++)       for(h=0; h<=nhstepm-1; h++)
       for(j=1; j<=nlstate*2;j++)        for(j=1; j<=nlstate*nlstate;j++)
         for(theta=1; theta <=npar; theta++)          for(theta=1; theta <=npar; theta++)
           trgradg[h][j][theta]=gradg[h][theta][j];            trgradg[h][j][theta]=gradg[h][theta][j];
             
   
      for(i=1;i<=nlstate*2;i++)       for(i=1;i<=nlstate*nlstate;i++)
       for(j=1;j<=nlstate*2;j++)        for(j=1;j<=nlstate*nlstate;j++)
         varhe[i][j][(int)age] =0.;          varhe[i][j][(int)age] =0.;
   
      printf("%d|",(int)age);fflush(stdout);       printf("%d|",(int)age);fflush(stdout);
      fprintf(ficlog,"%d|",(int)age);fflush(ficlog);       fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
      for(h=0;h<=nhstepm-1;h++){       for(h=0;h<=nhstepm-1;h++){
       for(k=0;k<=nhstepm-1;k++){        for(k=0;k<=nhstepm-1;k++){
         matprod2(dnewm,trgradg[h],1,nlstate*2,1,npar,1,npar,matcov);          matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov);
         matprod2(doldm,dnewm,1,nlstate*2,1,npar,1,nlstate*2,gradg[k]);          matprod2(doldm,dnewm,1,nlstate*nlstate,1,npar,1,nlstate*nlstate,gradg[k]);
         for(i=1;i<=nlstate*2;i++)          for(i=1;i<=nlstate*nlstate;i++)
           for(j=1;j<=nlstate*2;j++)            for(j=1;j<=nlstate*nlstate;j++)
             varhe[i][j][(int)age] += doldm[i][j]*hf*hf;              varhe[i][j][(int)age] += doldm[i][j]*hf*hf;
       }        }
     }      }
Line 1783  void evsij(char fileres[], double ***eij Line 2067  void evsij(char fileres[], double ***eij
       }        }
     fprintf(ficreseij,"\n");      fprintf(ficreseij,"\n");
         
     free_matrix(gm,0,nhstepm,1,nlstate*2);      free_matrix(gm,0,nhstepm,1,nlstate*nlstate);
     free_matrix(gp,0,nhstepm,1,nlstate*2);      free_matrix(gp,0,nhstepm,1,nlstate*nlstate);
     free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*2);      free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*nlstate);
     free_ma3x(trgradg,0,nhstepm,1,nlstate*2,1,npar);      free_ma3x(trgradg,0,nhstepm,1,nlstate*nlstate,1,npar);
     free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);      free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
   }    }
   printf("\n");    printf("\n");
   fprintf(ficlog,"\n");    fprintf(ficlog,"\n");
   
   free_vector(xp,1,npar);    free_vector(xp,1,npar);
   free_matrix(dnewm,1,nlstate*2,1,npar);    free_matrix(dnewm,1,nlstate*nlstate,1,npar);
   free_matrix(doldm,1,nlstate*2,1,nlstate*2);    free_matrix(doldm,1,nlstate*nlstate,1,nlstate*nlstate);
   free_ma3x(varhe,1,nlstate*2,1,nlstate*2,(int) bage, (int)fage);    free_ma3x(varhe,1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int)fage);
 }  }
   
 /************ Variance ******************/  /************ Variance ******************/
Line 1824  void varevsij(char optionfilefiname[], d Line 2108  void varevsij(char optionfilefiname[], d
   char fileresprobmorprev[FILENAMELENGTH];    char fileresprobmorprev[FILENAMELENGTH];
   
   if(popbased==1){    if(popbased==1){
     if(mobilav==1)      if(mobilav!=0)
       strcpy(digitp,"-populbased-mobilav-");        strcpy(digitp,"-populbased-mobilav-");
     else strcpy(digitp,"-populbased-nomobil-");      else strcpy(digitp,"-populbased-nomobil-");
   }    }
   else     else 
     strcpy(digitp,"-stablbased-");      strcpy(digitp,"-stablbased-");
 <<<<<<< imach.c  
   if (mobilav!=0) {  
 =======  
   if(mobilav!=0)  
     strcat(digitp,"mobilav-");  
   else  
     strcat(digitp,"nomobil-");  
   if (mobilav!=0) {    if (mobilav!=0) {
 >>>>>>> 1.54  
     mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);      mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){      if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
       fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);        fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
Line 1858  void varevsij(char optionfilefiname[], d Line 2135  void varevsij(char optionfilefiname[], d
   }    }
   printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);    printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
   fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);    fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
   fprintf(ficresprobmorprev,"# probabilities of dying during a year and weighted mean w1*p1j+w2*p2j+... stand dev in()\n");    fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm);
   fprintf(ficresprobmorprev,"# Age cov=%-d",ij);    fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
   for(j=nlstate+1; j<=(nlstate+ndeath);j++){    for(j=nlstate+1; j<=(nlstate+ndeath);j++){
     fprintf(ficresprobmorprev," p.%-d SE",j);      fprintf(ficresprobmorprev," p.%-d SE",j);
Line 1880  void varevsij(char optionfilefiname[], d Line 2157  void varevsij(char optionfilefiname[], d
     exit(0);      exit(0);
   }    }
   else{    else{
     fprintf(fichtm,"\n<li><h4> Computing probabilities of dying as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");      fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");
     fprintf(fichtm,"\n<br>%s (à revoir) <br>\n",digitp);      fprintf(fichtm,"\n<br>%s  <br>\n",digitp);
   }    }
   varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);    varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
   
Line 1915  void varevsij(char optionfilefiname[], d Line 2192  void varevsij(char optionfilefiname[], d
      and note for a fixed period like k years */       and note for a fixed period like k years */
   /* We decided (b) to get a life expectancy respecting the most precise curvature of the    /* We decided (b) to get a life expectancy respecting the most precise curvature of the
      survival function given by stepm (the optimization length). Unfortunately it       survival function given by stepm (the optimization length). Unfortunately it
      means that if the survival funtion is printed only each two years of age and if       means that if the survival funtion is printed every two years of age and if
      you sum them up and add 1 year (area under the trapezoids) you won't get the same        you sum them up and add 1 year (area under the trapezoids) you won't get the same 
      results. So we changed our mind and took the option of the best precision.       results. So we changed our mind and took the option of the best precision.
   */    */
Line 1931  void varevsij(char optionfilefiname[], d Line 2208  void varevsij(char optionfilefiname[], d
   
   
     for(theta=1; theta <=npar; theta++){      for(theta=1; theta <=npar; theta++){
       for(i=1; i<=npar; i++){ /* Computes gradient */        for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/
         xp[i] = x[i] + (i==theta ?delti[theta]:0);          xp[i] = x[i] + (i==theta ?delti[theta]:0);
       }        }
       hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);          hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
Line 1953  void varevsij(char optionfilefiname[], d Line 2230  void varevsij(char optionfilefiname[], d
             gp[h][j] += prlim[i][i]*p3mat[i][j][h];              gp[h][j] += prlim[i][i]*p3mat[i][j][h];
         }          }
       }        }
       /* This for computing forces of mortality (h=1)as a weighted average */        /* This for computing probability of death (h=1 means
       for(j=nlstate+1,gpp[j]=0.;j<=nlstate+ndeath;j++){           computed over hstepm matrices product = hstepm*stepm months) 
         for(i=1; i<= nlstate; i++)           as a weighted average of prlim.
         */
         for(j=nlstate+1;j<=nlstate+ndeath;j++){
           for(i=1,gpp[j]=0.; i<= nlstate; i++)
           gpp[j] += prlim[i][i]*p3mat[i][j][1];            gpp[j] += prlim[i][i]*p3mat[i][j][1];
       }            }    
       /* end force of mortality */        /* end probability of death */
   
       for(i=1; i<=npar; i++) /* Computes gradient */        for(i=1; i<=npar; i++) /* Computes gradient x - delta */
         xp[i] = x[i] - (i==theta ?delti[theta]:0);          xp[i] = x[i] - (i==theta ?delti[theta]:0);
       hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);          hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
Line 1981  void varevsij(char optionfilefiname[], d Line 2261  void varevsij(char optionfilefiname[], d
             gm[h][j] += prlim[i][i]*p3mat[i][j][h];              gm[h][j] += prlim[i][i]*p3mat[i][j][h];
         }          }
       }        }
       /* This for computing force of mortality (h=1)as a weighted average */        /* This for computing probability of death (h=1 means
       for(j=nlstate+1,gmp[j]=0.;j<=nlstate+ndeath;j++){           computed over hstepm matrices product = hstepm*stepm months) 
         for(i=1; i<= nlstate; i++)           as a weighted average of prlim.
           gmp[j] += prlim[i][i]*p3mat[i][j][1];        */
         for(j=nlstate+1;j<=nlstate+ndeath;j++){
           for(i=1,gmp[j]=0.; i<= nlstate; i++)
            gmp[j] += prlim[i][i]*p3mat[i][j][1];
       }            }    
       /* end force of mortality */        /* end probability of death */
   
       for(j=1; j<= nlstate; j++) /* vareij */        for(j=1; j<= nlstate; j++) /* vareij */
         for(h=0; h<=nhstepm; h++){          for(h=0; h<=nhstepm; h++){
           gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];            gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
         }          }
   
       for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */        for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */
         gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];          gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];
       }        }
Line 2008  void varevsij(char optionfilefiname[], d Line 2292  void varevsij(char optionfilefiname[], d
     for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */      for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
       for(theta=1; theta <=npar; theta++)        for(theta=1; theta <=npar; theta++)
         trgradgp[j][theta]=gradgp[theta][j];          trgradgp[j][theta]=gradgp[theta][j];
     
   
     hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */      hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
     for(i=1;i<=nlstate;i++)      for(i=1;i<=nlstate;i++)
Line 2023  void varevsij(char optionfilefiname[], d Line 2308  void varevsij(char optionfilefiname[], d
             vareij[i][j][(int)age] += doldm[i][j]*hf*hf;              vareij[i][j][(int)age] += doldm[i][j]*hf*hf;
       }        }
     }      }
     
     /* pptj */      /* pptj */
     matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);      matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);
     matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);      matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
Line 2031  void varevsij(char optionfilefiname[], d Line 2316  void varevsij(char optionfilefiname[], d
       for(i=nlstate+1;i<=nlstate+ndeath;i++)        for(i=nlstate+1;i<=nlstate+ndeath;i++)
         varppt[j][i]=doldmp[j][i];          varppt[j][i]=doldmp[j][i];
     /* end ppptj */      /* end ppptj */
       /*  x centered again */
     hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);        hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);  
     prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);      prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);
     
Line 2043  void varevsij(char optionfilefiname[], d Line 2329  void varevsij(char optionfilefiname[], d
           prlim[i][i]=mobaverage[(int)age][i][ij];            prlim[i][i]=mobaverage[(int)age][i][ij];
       }        }
     }      }
                    
     /* This for computing force of mortality (h=1)as a weighted average */      /* This for computing probability of death (h=1 means
     for(j=nlstate+1,gmp[j]=0.;j<=nlstate+ndeath;j++){         computed over hstepm (estepm) matrices product = hstepm*stepm months) 
       for(i=1; i<= nlstate; i++)         as a weighted average of prlim.
       */
       for(j=nlstate+1;j<=nlstate+ndeath;j++){
         for(i=1,gmp[j]=0.;i<= nlstate; i++) 
         gmp[j] += prlim[i][i]*p3mat[i][j][1];           gmp[j] += prlim[i][i]*p3mat[i][j][1]; 
     }          }    
     /* end force of mortality */      /* end probability of death */
   
     fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);      fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);
     for(j=nlstate+1; j<=(nlstate+ndeath);j++){      for(j=nlstate+1; j<=(nlstate+ndeath);j++){
Line 2079  void varevsij(char optionfilefiname[], d Line 2368  void varevsij(char optionfilefiname[], d
   fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");    fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");
   /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */    /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */
   fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");    fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
   fprintf(ficgp,"\n plot \"%s\"  u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm);  /*   fprintf(ficgp,"\n plot \"%s\"  u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */
   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm);  /*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm);  /*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
     fprintf(ficgp,"\n plot \"%s\"  u 1:($3) not w l 1 ",fileresprobmorprev);
     fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",fileresprobmorprev);
     fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)) not w l 2 ",fileresprobmorprev);
   fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",fileresprobmorprev,fileresprobmorprev);    fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",fileresprobmorprev,fileresprobmorprev);
   fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,digitp,digit);    fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"varmuptjgr%s%s%s.png\"> <br>\n", estepm,digitp,optionfilefiname,digit);
   /*  fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);    /*  fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);
 */  */
   fprintf(ficgp,"\nset out \"varmuptjgr%s%s.png\";replot;",digitp,digit);    fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,digit);
   
   free_vector(xp,1,npar);    free_vector(xp,1,npar);
   free_matrix(doldm,1,nlstate,1,nlstate);    free_matrix(doldm,1,nlstate,1,nlstate);
Line 2098  void varevsij(char optionfilefiname[], d Line 2390  void varevsij(char optionfilefiname[], d
   fclose(ficresprobmorprev);    fclose(ficresprobmorprev);
   fclose(ficgp);    fclose(ficgp);
   fclose(fichtm);    fclose(fichtm);
 }  }  
   
 /************ Variance of prevlim ******************/  /************ Variance of prevlim ******************/
 void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij)  void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij)
 {  {
   /* Variance of prevalence limit */    /* Variance of prevalence limit */
   /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/    /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/
   double **newm;    double **newm;
   double **dnewm,**doldm;    double **dnewm,**doldm;
   int i, j, nhstepm, hstepm;    int i, j, nhstepm, hstepm;
Line 2244  void varprob(char optionfilefiname[], do Line 2536  void varprob(char optionfilefiname[], do
       fprintf(ficresprobcov," p%1d-%1d ",i,j);        fprintf(ficresprobcov," p%1d-%1d ",i,j);
       fprintf(ficresprobcor," p%1d-%1d ",i,j);        fprintf(ficresprobcor," p%1d-%1d ",i,j);
     }        }  
   fprintf(ficresprob,"\n");   /* fprintf(ficresprob,"\n");
   fprintf(ficresprobcov,"\n");    fprintf(ficresprobcov,"\n");
   fprintf(ficresprobcor,"\n");    fprintf(ficresprobcor,"\n");
   xp=vector(1,npar);   */
    xp=vector(1,npar);
   dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);    dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
   doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));    doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
   mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);    mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
Line 2276  void varprob(char optionfilefiname[], do Line 2569  void varprob(char optionfilefiname[], do
   
   }    }
   
    
   cov[1]=1;    cov[1]=1;
   tj=cptcoveff;    tj=cptcoveff;
   if (cptcovn<1) {tj=1;ncodemax[1]=1;}    if (cptcovn<1) {tj=1;ncodemax[1]=1;}
Line 2284  void varprob(char optionfilefiname[], do Line 2576  void varprob(char optionfilefiname[], do
   for(t=1; t<=tj;t++){    for(t=1; t<=tj;t++){
     for(i1=1; i1<=ncodemax[t];i1++){       for(i1=1; i1<=ncodemax[t];i1++){ 
       j1++;        j1++;
         
       if  (cptcovn>0) {        if  (cptcovn>0) {
         fprintf(ficresprob, "\n#********** Variable ");           fprintf(ficresprob, "\n#********** Variable "); 
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
         fprintf(ficresprob, "**********\n#");          fprintf(ficresprob, "**********\n#\n");
         fprintf(ficresprobcov, "\n#********** Variable ");           fprintf(ficresprobcov, "\n#********** Variable "); 
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
         fprintf(ficresprobcov, "**********\n#");          fprintf(ficresprobcov, "**********\n#\n");
                   
         fprintf(ficgp, "\n#********** Variable ");           fprintf(ficgp, "\n#********** Variable "); 
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, "# V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
         fprintf(ficgp, "**********\n#");          fprintf(ficgp, "**********\n#\n");
                   
                   
         fprintf(fichtm, "\n<hr  size=\"2\" color=\"#EC5E5E\">********** Variable ");           fprintf(fichtm, "\n<hr  size=\"2\" color=\"#EC5E5E\">********** Variable "); 
Line 2304  void varprob(char optionfilefiname[], do Line 2595  void varprob(char optionfilefiname[], do
                   
         fprintf(ficresprobcor, "\n#********** Variable ");              fprintf(ficresprobcor, "\n#********** Variable ");    
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
         fprintf(ficgp, "**********\n#");              fprintf(ficresprobcor, "**********\n#");    
       }        }
               
       for (age=bage; age<=fage; age ++){         for (age=bage; age<=fage; age ++){ 
Line 2323  void varprob(char optionfilefiname[], do Line 2614  void varprob(char optionfilefiname[], do
           
         for(theta=1; theta <=npar; theta++){          for(theta=1; theta <=npar; theta++){
           for(i=1; i<=npar; i++)            for(i=1; i<=npar; i++)
             xp[i] = x[i] + (i==theta ?delti[theta]:0);              xp[i] = x[i] + (i==theta ?delti[theta]:(double)0);
                       
           pmij(pmmij,cov,ncovmodel,xp,nlstate);            pmij(pmmij,cov,ncovmodel,xp,nlstate);
                       
Line 2336  void varprob(char optionfilefiname[], do Line 2627  void varprob(char optionfilefiname[], do
           }            }
                       
           for(i=1; i<=npar; i++)            for(i=1; i<=npar; i++)
             xp[i] = x[i] - (i==theta ?delti[theta]:0);              xp[i] = x[i] - (i==theta ?delti[theta]:(double)0);
           
           pmij(pmmij,cov,ncovmodel,xp,nlstate);            pmij(pmmij,cov,ncovmodel,xp,nlstate);
           k=0;            k=0;
Line 2348  void varprob(char optionfilefiname[], do Line 2639  void varprob(char optionfilefiname[], do
           }            }
             
           for(i=1; i<= (nlstate)*(nlstate+ndeath); i++)             for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) 
             gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta];                gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta];  
         }          }
   
         for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)          for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)
Line 2357  void varprob(char optionfilefiname[], do Line 2648  void varprob(char optionfilefiname[], do
                   
         matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov);           matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); 
         matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg);          matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg);
                   free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
           free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
           free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
           free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
   
         pmij(pmmij,cov,ncovmodel,x,nlstate);          pmij(pmmij,cov,ncovmodel,x,nlstate);
                   
         k=0;          k=0;
Line 2372  void varprob(char optionfilefiname[], do Line 2667  void varprob(char optionfilefiname[], do
             varpij[i][j][(int)age] = doldm[i][j];              varpij[i][j][(int)age] = doldm[i][j];
   
         /*printf("\n%d ",(int)age);          /*printf("\n%d ",(int)age);
      for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){            for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){
        printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));            printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
        fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));            fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
      }*/            }*/
   
         fprintf(ficresprob,"\n%d ",(int)age);          fprintf(ficresprob,"\n%d ",(int)age);
         fprintf(ficresprobcov,"\n%d ",(int)age);          fprintf(ficresprobcov,"\n%d ",(int)age);
Line 2403  void varprob(char optionfilefiname[], do Line 2698  void varprob(char optionfilefiname[], do
   
       /* Confidence intervalle of pij  */        /* Confidence intervalle of pij  */
       /*        /*
       fprintf(ficgp,"\nset noparametric;unset label");          fprintf(ficgp,"\nset noparametric;unset label");
       fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\"");          fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\"");
       fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");          fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
       fprintf(fichtm,"\n<br>Probability with  confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname);          fprintf(fichtm,"\n<br>Probability with  confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname);
       fprintf(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname);          fprintf(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname);
       fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname);          fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname);
       fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob);          fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob);
       */        */
   
       /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/        /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
Line 2481  void varprob(char optionfilefiname[], do Line 2776  void varprob(char optionfilefiname[], do
         } /*l1 */          } /*l1 */
       }/* k1 */        }/* k1 */
     } /* loop covariates */      } /* loop covariates */
     free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);  
     free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));  
     free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));  
     free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);  
     free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);  
     free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);  
   }    }
     free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
     free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
   free_vector(xp,1,npar);    free_vector(xp,1,npar);
   fclose(ficresprob);    fclose(ficresprob);
   fclose(ficresprobcov);    fclose(ficresprobcov);
Line 2535  fprintf(fichtm," \n<ul><li><b>Graphs</b> Line 2826  fprintf(fichtm," \n<ul><li><b>Graphs</b>
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
      }       }
      /* Pij */       /* Pij */
      fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png<br>       fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: pe%s%d1.png<br>
 <img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);       <img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);     
      /* Quasi-incidences */       /* Quasi-incidences */
      fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>       fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>
Line 2566  health expectancies in states (1) and (2 Line 2857  health expectancies in states (1) and (2
  - Health expectancies with their variances (no covariance): <a href=\"t%s\">t%s</a> <br>\n   - Health expectancies with their variances (no covariance): <a href=\"t%s\">t%s</a> <br>\n
  - Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);   - Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);
   
  if(popforecast==1) fprintf(fichtm,"\n  /*  if(popforecast==1) fprintf(fichtm,"\n */
  - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n  /*  - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */
  - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n  /*  - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */
         <br>",fileres,fileres,fileres,fileres);  /*      <br>",fileres,fileres,fileres,fileres); */
  else   /*  else  */
    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model);  /*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */
 fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");  fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");
   
  m=cptcoveff;   m=cptcoveff;
Line 2588  fprintf(fichtm," <ul><li><b>Graphs</b></ Line 2879  fprintf(fichtm," <ul><li><b>Graphs</b></
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
      }       }
      for(cpt=1; cpt<=nlstate;cpt++) {       for(cpt=1; cpt<=nlstate;cpt++) {
        fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident         fprintf(fichtm,"<br>- Observed and period prevalence (with confident
 interval) in state (%d): v%s%d%d.png <br>  interval) in state (%d): v%s%d%d.png <br>
 <img src=\"v%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);    <img src=\"v%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);  
      }       }
Line 2623  m=pow(2,cptcoveff); Line 2914  m=pow(2,cptcoveff);
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else fprintf(ficgp," \%%*lf (\%%*lf)");         else fprintf(ficgp," \%%*lf (\%%*lf)");
      }       }
      fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);       fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",fileres,k1-1,k1-1);
      for (i=1; i<= nlstate ; i ++) {       for (i=1; i<= nlstate ; i ++) {
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else fprintf(ficgp," \%%*lf (\%%*lf)");         else fprintf(ficgp," \%%*lf (\%%*lf)");
      }        } 
      fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1);        fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",fileres,k1-1,k1-1); 
      for (i=1; i<= nlstate ; i ++) {       for (i=1; i<= nlstate ; i ++) {
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else fprintf(ficgp," \%%*lf (\%%*lf)");         else fprintf(ficgp," \%%*lf (\%%*lf)");
Line 2689  m=pow(2,cptcoveff); Line 2980  m=pow(2,cptcoveff);
     }      }
   }    }
       
   /* CV preval stat */    /* CV preval stable (period) */
   for (k1=1; k1<= m ; k1 ++) {     for (k1=1; k1<= m ; k1 ++) { 
     for (cpt=1; cpt<nlstate ; cpt ++) {      for (cpt=1; cpt<=nlstate ; cpt ++) {
       k=3;        k=3;
       fprintf(ficgp,"\nset out \"p%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);        fprintf(ficgp,"\nset out \"p%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
       fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,fileres,k1,k+cpt+1,k+1);        fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,fileres,k1,k+cpt+1,k+1);
               
       for (i=1; i< nlstate ; i ++)        for (i=1; i<= nlstate ; i ++)
         fprintf(ficgp,"+$%d",k+i+1);          fprintf(ficgp,"+$%d",k+i+1);
       fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);        fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);
               
Line 2780  m=pow(2,cptcoveff); Line 3071  m=pow(2,cptcoveff);
 int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav){  int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav){
   
   int i, cpt, cptcod;    int i, cpt, cptcod;
     int modcovmax =1;
   int mobilavrange, mob;    int mobilavrange, mob;
   double age;    double age;
   
     modcovmax=2*cptcoveff;/* Max number of modalities. We suppose 
                              a covariate has 2 modalities */
     if (cptcovn<1) modcovmax=1; /* At least 1 pass */
   
   if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){    if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){
     if(mobilav==1) mobilavrange=5; /* default */      if(mobilav==1) mobilavrange=5; /* default */
     else mobilavrange=mobilav;      else mobilavrange=mobilav;
     for (age=bage; age<=fage; age++)      for (age=bage; age<=fage; age++)
       for (i=1; i<=nlstate;i++)        for (i=1; i<=nlstate;i++)
         for (cptcod=1;cptcod<=ncodemax[cptcov];cptcod++)          for (cptcod=1;cptcod<=modcovmax;cptcod++)
           mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];            mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];
     /* We keep the original values on the extreme ages bage, fage and for       /* We keep the original values on the extreme ages bage, fage and for 
        fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2         fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2
Line 2796  int movingaverage(double ***probs, doubl Line 3093  int movingaverage(double ***probs, doubl
     for (mob=3;mob <=mobilavrange;mob=mob+2){      for (mob=3;mob <=mobilavrange;mob=mob+2){
       for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){        for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){
         for (i=1; i<=nlstate;i++){          for (i=1; i<=nlstate;i++){
           for (cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){            for (cptcod=1;cptcod<=modcovmax;cptcod++){
             mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod];              mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod];
               for (cpt=1;cpt<=(mob-1)/2;cpt++){                for (cpt=1;cpt<=(mob-1)/2;cpt++){
                 mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod];                  mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod];
Line 2813  int movingaverage(double ***probs, doubl Line 3110  int movingaverage(double ***probs, doubl
   
   
 /************** Forecasting ******************/  /************** Forecasting ******************/
 prevforecast(char fileres[], double anproj1,double mproj1,double jproj1,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anproj2,double p[], int i2){  prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
       /* proj1, year, month, day of starting projection 
   int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;       agemin, agemax range of age
        dateprev1 dateprev2 range of dates during which prevalence is computed
        anproj2 year of en of projection (same day and month as proj1).
     */
     int yearp, stepsize, hstepm, nhstepm, j, k, c, cptcod, i, h, i1;
   int *popage;    int *popage;
   double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;    double agec; /* generic age */
     double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
   double *popeffectif,*popcount;    double *popeffectif,*popcount;
   double ***p3mat;    double ***p3mat;
   double ***mobaverage;    double ***mobaverage;
   char fileresf[FILENAMELENGTH];    char fileresf[FILENAMELENGTH];
   
  agelim=AGESUP;    agelim=AGESUP;
 calagedate=(anproj1+mproj1/12.+jproj1/365.-dateintmean)*YEARM;    prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
   
   prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);  
    
     
   strcpy(fileresf,"f");     strcpy(fileresf,"f"); 
   strcat(fileresf,fileres);    strcat(fileresf,fileres);
Line 2850  calagedate=(anproj1+mproj1/12.+jproj1/36 Line 3149  calagedate=(anproj1+mproj1/12.+jproj1/36
   
   stepsize=(int) (stepm+YEARM-1)/YEARM;    stepsize=(int) (stepm+YEARM-1)/YEARM;
   if (stepm<=12) stepsize=1;    if (stepm<=12) stepsize=1;
       if(estepm < stepm){
   agelim=AGESUP;      printf ("Problem %d lower than %d\n",estepm, stepm);
       }
   hstepm=1;    else  hstepm=estepm;   
   
   hstepm=hstepm/stepm;     hstepm=hstepm/stepm; 
   yp1=modf(dateintmean,&yp);    yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp  and
                                  fractional in yp1 */
   anprojmean=yp;    anprojmean=yp;
   yp2=modf((yp1*12),&yp);    yp2=modf((yp1*12),&yp);
   mprojmean=yp;    mprojmean=yp;
Line 2863  calagedate=(anproj1+mproj1/12.+jproj1/36 Line 3164  calagedate=(anproj1+mproj1/12.+jproj1/36
   jprojmean=yp;    jprojmean=yp;
   if(jprojmean==0) jprojmean=1;    if(jprojmean==0) jprojmean=1;
   if(mprojmean==0) jprojmean=1;    if(mprojmean==0) jprojmean=1;
   
     i1=cptcoveff;
     if (cptcovn < 1){i1=1;}
       
   fprintf(ficresf,"# Estimated date of observed prevalence: %.lf/%.lf/%.lf ",jprojmean,mprojmean,anprojmean);     fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); 
       
   for(cptcov=1;cptcov<=i2;cptcov++){    fprintf(ficresf,"#****** Routine prevforecast **\n");
   
   /*            if (h==(int)(YEARM*yearp)){ */
     for(cptcov=1, k=0;cptcov<=i1;cptcov++){
     for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){      for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
       k=k+1;        k=k+1;
       fprintf(ficresf,"\n#******");        fprintf(ficresf,"\n#******");
       for(j=1;j<=cptcoveff;j++) {        for(j=1;j<=cptcoveff;j++) {
         fprintf(ficresf," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
       }        }
       fprintf(ficresf,"******\n");        fprintf(ficresf,"******\n");
       fprintf(ficresf,"# StartingAge FinalAge");        fprintf(ficresf,"# Covariate valuofcovar yearproj age");
       for(j=1; j<=nlstate+ndeath;j++) fprintf(ficresf," P.%d",j);        for(j=1; j<=nlstate+ndeath;j++){ 
                 for(i=1; i<=nlstate;i++)              
                   fprintf(ficresf," p%d%d",i,j);
       for (cpt=0; cpt<=(anproj2-anproj1);cpt++) {           fprintf(ficresf," p.%d",j);
         }
         for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { 
         fprintf(ficresf,"\n");          fprintf(ficresf,"\n");
         fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+cpt);             fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp);   
   
         for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){           for (agec=fage; agec>=(ageminpar-1); agec--){ 
           nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);             nhstepm=(int) rint((agelim-agec)*YEARM/stepm); 
           nhstepm = nhstepm/hstepm;             nhstepm = nhstepm/hstepm; 
             
           p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);            p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           oldm=oldms;savm=savms;            oldm=oldms;savm=savms;
           hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);              hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k);  
                   
           for (h=0; h<=nhstepm; h++){            for (h=0; h<=nhstepm; h++){
             if (h==(int) (calagedate+YEARM*cpt)) {              if (h*hstepm/YEARM*stepm ==yearp) {
               fprintf(ficresf,"\n %.f %.f ",anproj1+cpt,agedeb+h*hstepm/YEARM*stepm);                fprintf(ficresf,"\n");
                 for(j=1;j<=cptcoveff;j++) 
                   fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
                 fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm);
             }               } 
             for(j=1; j<=nlstate+ndeath;j++) {              for(j=1; j<=nlstate+ndeath;j++) {
               kk1=0.;kk2=0;                ppij=0.;
               for(i=1; i<=nlstate;i++) {                              for(i=1; i<=nlstate;i++) {
                 if (mobilav==1)                   if (mobilav==1) 
                   kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod];                    ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod];
                 else {                  else {
                   kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];                    ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod];
                 }                  }
                                   if (h*hstepm/YEARM*stepm== yearp) {
               }                    fprintf(ficresf," %.3f", p3mat[i][j][h]);
               if (h==(int)(calagedate+12*cpt)){                  }
                 fprintf(ficresf," %.3f", kk1);                } /* end i */
                                         if (h*hstepm/YEARM*stepm==yearp) {
                   fprintf(ficresf," %.3f", ppij);
               }                }
             }              }/* end j */
           }            } /* end h */
           free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);            free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
         }          } /* end agec */
       }        } /* end yearp */
     }      } /* end cptcod */
   }    } /* end  cptcov */
                 
   if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);    if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   
   fclose(ficresf);    fclose(ficresf);
 }  }
 /************** Forecasting ******************/  
   /************** Forecasting *****not tested NB*************/
 populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){  populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){
       
   int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;    int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
   int *popage;    int *popage;
   double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;    double calagedatem, agelim, kk1, kk2;
   double *popeffectif,*popcount;    double *popeffectif,*popcount;
   double ***p3mat,***tabpop,***tabpopprev;    double ***p3mat,***tabpop,***tabpopprev;
   double ***mobaverage;    double ***mobaverage;
Line 2934  populforecast(char fileres[], double anp Line 3247  populforecast(char fileres[], double anp
   tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);    tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);    tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   agelim=AGESUP;    agelim=AGESUP;
   calagedate=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;    calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;
       
   prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);    prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
       
       
   strcpy(filerespop,"pop");     strcpy(filerespop,"pop"); 
Line 2982  populforecast(char fileres[], double anp Line 3295  populforecast(char fileres[], double anp
     for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];      for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];
   }    }
   
   for(cptcov=1;cptcov<=i2;cptcov++){    for(cptcov=1,k=0;cptcov<=i2;cptcov++){
    for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){     for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
       k=k+1;        k=k+1;
       fprintf(ficrespop,"\n#******");        fprintf(ficrespop,"\n#******");
Line 2997  populforecast(char fileres[], double anp Line 3310  populforecast(char fileres[], double anp
       for (cpt=0; cpt<=0;cpt++) {         for (cpt=0; cpt<=0;cpt++) { 
         fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);             fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);   
                   
         for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){           for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ 
           nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);             nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
           nhstepm = nhstepm/hstepm;             nhstepm = nhstepm/hstepm; 
                       
Line 3006  populforecast(char fileres[], double anp Line 3319  populforecast(char fileres[], double anp
           hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);              hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
                   
           for (h=0; h<=nhstepm; h++){            for (h=0; h<=nhstepm; h++){
             if (h==(int) (calagedate+YEARM*cpt)) {              if (h==(int) (calagedatem+YEARM*cpt)) {
               fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);                fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
             }               } 
             for(j=1; j<=nlstate+ndeath;j++) {              for(j=1; j<=nlstate+ndeath;j++) {
Line 3018  populforecast(char fileres[], double anp Line 3331  populforecast(char fileres[], double anp
                   kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];                    kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
                 }                  }
               }                }
               if (h==(int)(calagedate+12*cpt)){                if (h==(int)(calagedatem+12*cpt)){
                 tabpop[(int)(agedeb)][j][cptcod]=kk1;                  tabpop[(int)(agedeb)][j][cptcod]=kk1;
                   /*fprintf(ficrespop," %.3f", kk1);                    /*fprintf(ficrespop," %.3f", kk1);
                     if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/                      if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/
Line 3029  populforecast(char fileres[], double anp Line 3342  populforecast(char fileres[], double anp
                 for(j=1; j<=nlstate;j++){                  for(j=1; j<=nlstate;j++){
                   kk1= kk1+tabpop[(int)(agedeb)][j][cptcod];                     kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; 
                 }                  }
                   tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedate+12*cpt)*hstepm/YEARM*stepm-1)];                    tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)];
             }              }
   
             if (h==(int)(calagedate+12*cpt)) for(j=1; j<=nlstate;j++)               if (h==(int)(calagedatem+12*cpt)) for(j=1; j<=nlstate;j++) 
               fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);                fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);
           }            }
           free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);            free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
Line 3043  populforecast(char fileres[], double anp Line 3356  populforecast(char fileres[], double anp
   
       for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) {         for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { 
         fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);             fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);   
         for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){           for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ 
           nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);             nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
           nhstepm = nhstepm/hstepm;             nhstepm = nhstepm/hstepm; 
                       
Line 3051  populforecast(char fileres[], double anp Line 3364  populforecast(char fileres[], double anp
           oldm=oldms;savm=savms;            oldm=oldms;savm=savms;
           hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);              hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
           for (h=0; h<=nhstepm; h++){            for (h=0; h<=nhstepm; h++){
             if (h==(int) (calagedate+YEARM*cpt)) {              if (h==(int) (calagedatem+YEARM*cpt)) {
               fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);                fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
             }               } 
             for(j=1; j<=nlstate+ndeath;j++) {              for(j=1; j<=nlstate+ndeath;j++) {
Line 3059  populforecast(char fileres[], double anp Line 3372  populforecast(char fileres[], double anp
               for(i=1; i<=nlstate;i++) {                              for(i=1; i<=nlstate;i++) {              
                 kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];                      kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];    
               }                }
               if (h==(int)(calagedate+12*cpt)) fprintf(ficresf," %15.2f", kk1);                 if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1);        
             }              }
           }            }
           free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);            free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
Line 3086  populforecast(char fileres[], double anp Line 3399  populforecast(char fileres[], double anp
   
 int main(int argc, char *argv[])  int main(int argc, char *argv[])
 {  {
     int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);
   int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod;    int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;
   double agedeb, agefin,hf;    double agedeb, agefin,hf;
   double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;    double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;
   
Line 3105  int main(int argc, char *argv[]) Line 3418  int main(int argc, char *argv[])
   int c,  h , cpt,l;    int c,  h , cpt,l;
   int ju,jl, mi;    int ju,jl, mi;
   int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;    int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;
   int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,**adl,*tab;     int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,*tab; 
     int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */
   int mobilav=0,popforecast=0;    int mobilav=0,popforecast=0;
   int hstepm, nhstepm;    int hstepm, nhstepm;
   double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1, calagedate;    double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000;
     double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;
   
   double bage, fage, age, agelim, agebase;    double bage, fage, age, agelim, agebase;
   double ftolpl=FTOL;    double ftolpl=FTOL;
Line 3123  int main(int argc, char *argv[]) Line 3438  int main(int argc, char *argv[])
   double **varpl; /* Variances of prevalence limits by age */    double **varpl; /* Variances of prevalence limits by age */
   double *epj, vepp;    double *epj, vepp;
   double kk1, kk2;    double kk1, kk2;
   double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2;    double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
     
   
   char *alph[]={"a","a","b","c","d","e"}, str[4];    char *alph[]={"a","a","b","c","d","e"}, str[4];
   
Line 3135  int main(int argc, char *argv[]) Line 3449  int main(int argc, char *argv[])
   char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];    char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];
     
   /* long total_usecs;    /* long total_usecs;
   struct timeval start_time, end_time;       struct timeval start_time, end_time;
       
   gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */       gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
   getcwd(pathcd, size);    getcwd(pathcd, size);
   
   printf("\n%s",version);    printf("\n%s",version);
Line 3154  int main(int argc, char *argv[]) Line 3468  int main(int argc, char *argv[])
   /* cutv(path,optionfile,pathtot,'\\');*/    /* cutv(path,optionfile,pathtot,'\\');*/
   
   split(pathtot,path,optionfile,optionfilext,optionfilefiname);    split(pathtot,path,optionfile,optionfilext,optionfilefiname);
    printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);    printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
   chdir(path);    chdir(path);
   replace(pathc,path);    replace(pathc,path);
   
 /*-------- arguments in the command line --------*/    /*-------- arguments in the command line --------*/
   
   /* Log file */    /* Log file */
   strcat(filelog, optionfilefiname);    strcat(filelog, optionfilefiname);
Line 3206  int main(int argc, char *argv[]) Line 3520  int main(int argc, char *argv[])
   fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);    fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);
   printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);    printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);
   fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);    fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
 while((c=getc(ficpar))=='#' && c!= EOF){    while((c=getc(ficpar))=='#' && c!= EOF){
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
     puts(line);      puts(line);
Line 3216  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3530  while((c=getc(ficpar))=='#' && c!= EOF){
       
         
   covar=matrix(0,NCOVMAX,1,n);     covar=matrix(0,NCOVMAX,1,n); 
   cptcovn=0;     cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement*/
   if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;    if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;
   
   ncovmodel=2+cptcovn;    ncovmodel=2+cptcovn; /*Number of variables = cptcovn + intercept + age */
   nvar=ncovmodel-1; /* Suppressing age as a basic covariate */    nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
       
   /* Read guess parameters */    /* Read guess parameters */
Line 3233  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3547  while((c=getc(ficpar))=='#' && c!= EOF){
   ungetc(c,ficpar);    ungetc(c,ficpar);
       
   param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);    param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
     for(i=1; i <=nlstate; i++)    for(i=1; i <=nlstate; i++)
     for(j=1; j <=nlstate+ndeath-1; j++){      for(j=1; j <=nlstate+ndeath-1; j++){
       fscanf(ficpar,"%1d%1d",&i1,&j1);        fscanf(ficpar,"%1d%1d",&i1,&j1);
       fprintf(ficparo,"%1d%1d",i1,j1);        fprintf(ficparo,"%1d%1d",i1,j1);
Line 3257  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3571  while((c=getc(ficpar))=='#' && c!= EOF){
       fprintf(ficparo,"\n");        fprintf(ficparo,"\n");
     }      }
       
     npar= (nlstate+ndeath-1)*nlstate*ncovmodel;    npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/
   
   p=param[1][1];    p=param[1][1];
       
Line 3271  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3585  while((c=getc(ficpar))=='#' && c!= EOF){
   ungetc(c,ficpar);    ungetc(c,ficpar);
   
   delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);    delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
   delti=vector(1,npar); /* Scale of each paramater (output from hesscov) */    /* delti=vector(1,npar); *//* Scale of each paramater (output from hesscov) */
   for(i=1; i <=nlstate; i++){    for(i=1; i <=nlstate; i++){
     for(j=1; j <=nlstate+ndeath-1; j++){      for(j=1; j <=nlstate+ndeath-1; j++){
       fscanf(ficpar,"%1d%1d",&i1,&j1);        fscanf(ficpar,"%1d%1d",&i1,&j1);
Line 3288  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3602  while((c=getc(ficpar))=='#' && c!= EOF){
     }      }
   }    }
   delti=delti3[1][1];    delti=delti3[1][1];
   
   
     /* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */
       
   /* Reads comments: lines beginning with '#' */    /* Reads comments: lines beginning with '#' */
   while((c=getc(ficpar))=='#' && c!= EOF){    while((c=getc(ficpar))=='#' && c!= EOF){
Line 3330  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3647  while((c=getc(ficpar))=='#' && c!= EOF){
   fprintf(ficlog,"\n");    fprintf(ficlog,"\n");
   
   
     /*-------- Rewriting paramater file ----------*/    /*-------- Rewriting paramater file ----------*/
      strcpy(rfileres,"r");    /* "Rparameterfile */    strcpy(rfileres,"r");    /* "Rparameterfile */
      strcat(rfileres,optionfilefiname);    /* Parameter file first name*/    strcat(rfileres,optionfilefiname);    /* Parameter file first name*/
      strcat(rfileres,".");    /* */    strcat(rfileres,".");    /* */
      strcat(rfileres,optionfilext);    /* Other files have txt extension */    strcat(rfileres,optionfilext);    /* Other files have txt extension */
     if((ficres =fopen(rfileres,"w"))==NULL) {    if((ficres =fopen(rfileres,"w"))==NULL) {
       printf("Problem writing new parameter file: %s\n", fileres);goto end;      printf("Problem writing new parameter file: %s\n", fileres);goto end;
       fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;      fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;
     }    }
     fprintf(ficres,"#%s\n",version);    fprintf(ficres,"#%s\n",version);
           
     /*-------- data file ----------*/    /*-------- data file ----------*/
     if((fic=fopen(datafile,"r"))==NULL)    {    if((fic=fopen(datafile,"r"))==NULL)    {
       printf("Problem with datafile: %s\n", datafile);goto end;      printf("Problem with datafile: %s\n", datafile);goto end;
       fprintf(ficlog,"Problem with datafile: %s\n", datafile);goto end;      fprintf(ficlog,"Problem with datafile: %s\n", datafile);goto end;
     }    }
   
     n= lastobs;    n= lastobs;
     severity = vector(1,maxwav);    severity = vector(1,maxwav);
     outcome=imatrix(1,maxwav+1,1,n);    outcome=imatrix(1,maxwav+1,1,n);
     num=ivector(1,n);    num=ivector(1,n);
     moisnais=vector(1,n);    moisnais=vector(1,n);
     annais=vector(1,n);    annais=vector(1,n);
     moisdc=vector(1,n);    moisdc=vector(1,n);
     andc=vector(1,n);    andc=vector(1,n);
     agedc=vector(1,n);    agedc=vector(1,n);
     cod=ivector(1,n);    cod=ivector(1,n);
     weight=vector(1,n);    weight=vector(1,n);
     for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */    for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */
     mint=matrix(1,maxwav,1,n);    mint=matrix(1,maxwav,1,n);
     anint=matrix(1,maxwav,1,n);    anint=matrix(1,maxwav,1,n);
     s=imatrix(1,maxwav+1,1,n);    s=imatrix(1,maxwav+1,1,n);
     adl=imatrix(1,maxwav+1,1,n);        tab=ivector(1,NCOVMAX);
     tab=ivector(1,NCOVMAX);    ncodemax=ivector(1,8);
     ncodemax=ivector(1,8);  
     i=1;
     i=1;    while (fgets(line, MAXLINE, fic) != NULL)    {
     while (fgets(line, MAXLINE, fic) != NULL)    {      if ((i >= firstobs) && (i <=lastobs)) {
       if ((i >= firstobs) && (i <=lastobs)) {  
                   
         for (j=maxwav;j>=1;j--){        for (j=maxwav;j>=1;j--){
           cutv(stra, strb,line,' '); s[j][i]=atoi(strb);           cutv(stra, strb,line,' '); s[j][i]=atoi(strb); 
           strcpy(line,stra);          strcpy(line,stra);
           cutv(stra, strb,line,'/'); anint[j][i]=(double)(atoi(strb)); strcpy(line,stra);          cutv(stra, strb,line,'/'); anint[j][i]=(double)(atoi(strb)); strcpy(line,stra);
           cutv(stra, strb,line,' '); mint[j][i]=(double)(atoi(strb)); strcpy(line,stra);          cutv(stra, strb,line,' '); mint[j][i]=(double)(atoi(strb)); strcpy(line,stra);
         }        }
                   
         cutv(stra, strb,line,'/'); andc[i]=(double)(atoi(strb)); strcpy(line,stra);        cutv(stra, strb,line,'/'); andc[i]=(double)(atoi(strb)); strcpy(line,stra);
         cutv(stra, strb,line,' '); moisdc[i]=(double)(atoi(strb)); strcpy(line,stra);        cutv(stra, strb,line,' '); moisdc[i]=(double)(atoi(strb)); strcpy(line,stra);
   
         cutv(stra, strb,line,'/'); annais[i]=(double)(atoi(strb)); strcpy(line,stra);        cutv(stra, strb,line,'/'); annais[i]=(double)(atoi(strb)); strcpy(line,stra);
         cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);        cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);
   
         cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);        cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);
         for (j=ncovcol;j>=1;j--){        for (j=ncovcol;j>=1;j--){
           cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);          cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);
         }         } 
         num[i]=atol(stra);        num[i]=atol(stra);
                   
         /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){        /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
           printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/          printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/
   
         i=i+1;        i=i+1;
       }      }
     }     }
     /* printf("ii=%d", ij);    /* printf("ii=%d", ij);
        scanf("%d",i);*/       scanf("%d",i);*/
   imx=i-1; /* Number of individuals */    imx=i-1; /* Number of individuals */
   
   /* for (i=1; i<=imx; i++){    /* for (i=1; i<=imx; i++){
Line 3408  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3724  while((c=getc(ficpar))=='#' && c!= EOF){
      if (s[4][i]==9)  s[4][i]=-1;        if (s[4][i]==9)  s[4][i]=-1; 
      printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i]));}*/       printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i]));}*/
       
    for (i=1; i<=imx; i++)
     
      /*if ((s[3][i]==3) ||  (s[4][i]==3)) weight[i]=0.08;
        else weight[i]=1;*/
   
   /* Calculation of the number of parameter from char model*/    /* Calculation of the number of parameter from char model*/
   Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */    Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */
   Tprod=ivector(1,15);     Tprod=ivector(1,15); 
Line 3416  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3736  while((c=getc(ficpar))=='#' && c!= EOF){
   Tvard=imatrix(1,15,1,2);    Tvard=imatrix(1,15,1,2);
   Tage=ivector(1,15);          Tage=ivector(1,15);      
         
   if (strlen(model) >1){    if (strlen(model) >1){ /* If there is at least 1 covariate */
     j=0, j1=0, k1=1, k2=1;      j=0, j1=0, k1=1, k2=1;
     j=nbocc(model,'+');      j=nbocc(model,'+'); /* j=Number of '+' */
     j1=nbocc(model,'*');      j1=nbocc(model,'*'); /* j1=Number of '*' */
     cptcovn=j+1;      cptcovn=j+1; 
     cptcovprod=j1;      cptcovprod=j1; /*Number of products */
           
     strcpy(modelsav,model);       strcpy(modelsav,model); 
     if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){      if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){
Line 3430  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3750  while((c=getc(ficpar))=='#' && c!= EOF){
       goto end;        goto end;
     }      }
           
       /* This loop fills the array Tvar from the string 'model'.*/
   
     for(i=(j+1); i>=1;i--){      for(i=(j+1); i>=1;i--){
       cutv(stra,strb,modelsav,'+'); /* keeps in strb after the last + */         cutv(stra,strb,modelsav,'+'); /* keeps in strb after the last + */ 
       if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyze it */        if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
       /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/        /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
       /*scanf("%d",i);*/        /*scanf("%d",i);*/
       if (strchr(strb,'*')) {  /* Model includes a product */        if (strchr(strb,'*')) {  /* Model includes a product */
Line 3479  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3801  while((c=getc(ficpar))=='#' && c!= EOF){
     } /* end of loop + */      } /* end of loop + */
   } /* end model */    } /* end model */
       
     /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products.
       If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/
   
   /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);    /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);
   printf("cptcovprod=%d ", cptcovprod);    printf("cptcovprod=%d ", cptcovprod);
   fprintf(ficlog,"cptcovprod=%d ", cptcovprod);    fprintf(ficlog,"cptcovprod=%d ", cptcovprod);
   scanf("%d ",i);*/  
     fclose(fic);    scanf("%d ",i);
     fclose(fic);*/
   
     /*  if(mle==1){*/      /*  if(mle==1){*/
     if (weightopt != 1) { /* Maximisation without weights*/    if (weightopt != 1) { /* Maximisation without weights*/
       for(i=1;i<=n;i++) weight[i]=1.0;      for(i=1;i<=n;i++) weight[i]=1.0;
     }    }
     /*-calculation of age at interview from date of interview and age at death -*/      /*-calculation of age at interview from date of interview and age at death -*/
     agev=matrix(1,maxwav,1,imx);    agev=matrix(1,maxwav,1,imx);
   
     for (i=1; i<=imx; i++) {    for (i=1; i<=imx; i++) {
       for(m=2; (m<= maxwav); m++) {      for(m=2; (m<= maxwav); m++) {
        if ((mint[m][i]== 99) && (s[m][i] <= nlstate)){        if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
          anint[m][i]=9999;          anint[m][i]=9999;
          s[m][i]=-1;          s[m][i]=-1;
        }        }
      if(moisdc[i]==99 && andc[i]==9999 & s[m][i]>nlstate) s[m][i]=-1;        if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
           printf("Error! Date of death (month %2d and year %4d) of individual %d on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
           fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %d on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
           s[m][i]=-1;
         }
         if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
           printf("Error! Month of death of individual %d on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]); 
           fprintf(ficlog,"Error! Month of death of individual %d on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]); 
           s[m][i]=-1;
       }        }
     }      }
     }
   
     for (i=1; i<=imx; i++)  {    for (i=1; i<=imx; i++)  {
       agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);      agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
       for(m=1; (m<= maxwav); m++){      for(m=firstpass; (m<= lastpass); m++){
         if(s[m][i] >0){        if(s[m][i] >0){
           if (s[m][i] >= nlstate+1) {          if (s[m][i] >= nlstate+1) {
             if(agedc[i]>0)            if(agedc[i]>0)
               if(moisdc[i]!=99 && andc[i]!=9999)              if((int)moisdc[i]!=99 && (int)andc[i]!=9999)
                 agev[m][i]=agedc[i];                agev[m][i]=agedc[i];
             /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/            /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
            else {              else {
               if (andc[i]!=9999){                if ((int)andc[i]!=9999){
               printf("Warning negative age at death: %d line:%d\n",num[i],i);                  printf("Warning negative age at death: %d line:%d\n",num[i],i);
               fprintf(ficlog,"Warning negative age at death: %d line:%d\n",num[i],i);                  fprintf(ficlog,"Warning negative age at death: %d line:%d\n",num[i],i);
               agev[m][i]=-1;                  agev[m][i]=-1;
               }                }
             }              }
           }          }
           else if(s[m][i] !=9){ /* Should no more exist */          else if(s[m][i] !=9){ /* Standard case, age in fractional
             agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);                                   years but with the precision of a
             if(mint[m][i]==99 || anint[m][i]==9999)                                   month */
               agev[m][i]=1;            agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
             else if(agev[m][i] <agemin){             if((int)mint[m][i]==99 || (int)anint[m][i]==9999)
               agemin=agev[m][i];  
               /*printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], agemin);*/  
             }  
             else if(agev[m][i] >agemax){  
               agemax=agev[m][i];  
              /* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/  
             }  
             /*agev[m][i]=anint[m][i]-annais[i];*/  
             /*   agev[m][i] = age[i]+2*m;*/  
           }  
           else { /* =9 */  
             agev[m][i]=1;              agev[m][i]=1;
             s[m][i]=-1;            else if(agev[m][i] <agemin){ 
               agemin=agev[m][i];
               /*printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], agemin);*/
             }
             else if(agev[m][i] >agemax){
               agemax=agev[m][i];
               /* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/
           }            }
             /*agev[m][i]=anint[m][i]-annais[i];*/
             /*     agev[m][i] = age[i]+2*m;*/
         }          }
         else /*= 0 Unknown */          else { /* =9 */
           agev[m][i]=1;            agev[m][i]=1;
             s[m][i]=-1;
           }
       }        }
             else /*= 0 Unknown */
           agev[m][i]=1;
     }      }
     for (i=1; i<=imx; i++)  {      
       for(m=1; (m<= maxwav); m++){    }
         if (s[m][i] > (nlstate+ndeath)) {    for (i=1; i<=imx; i++)  {
           printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);         for(m=firstpass; (m<=lastpass); m++){
           fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);           if (s[m][i] > (nlstate+ndeath)) {
           goto end;          printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);     
         }          fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);     
           goto end;
       }        }
     }      }
     }
   
     /*for (i=1; i<=imx; i++){
     for (m=firstpass; (m<lastpass); m++){
        printf("%d %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);
   }
   
   }*/
   
     printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);
     fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax); 
   
 printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);    free_vector(severity,1,maxwav);
  fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);     free_imatrix(outcome,1,maxwav+1,1,n);
     free_vector(moisnais,1,n);
     free_vector(severity,1,maxwav);    free_vector(annais,1,n);
     free_imatrix(outcome,1,maxwav+1,1,n);    /* free_matrix(mint,1,maxwav,1,n);
     free_vector(moisnais,1,n);       free_matrix(anint,1,maxwav,1,n);*/
     free_vector(annais,1,n);    free_vector(moisdc,1,n);
     /* free_matrix(mint,1,maxwav,1,n);    free_vector(andc,1,n);
        free_matrix(anint,1,maxwav,1,n);*/  
     free_vector(moisdc,1,n);  
     free_vector(andc,1,n);  
   
         
     wav=ivector(1,imx);    wav=ivector(1,imx);
     dh=imatrix(1,lastpass-firstpass+1,1,imx);    dh=imatrix(1,lastpass-firstpass+1,1,imx);
     mw=imatrix(1,lastpass-firstpass+1,1,imx);    bh=imatrix(1,lastpass-firstpass+1,1,imx);
     mw=imatrix(1,lastpass-firstpass+1,1,imx);
         
     /* Concatenates waves */    /* Concatenates waves */
       concatwav(wav, dh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);    concatwav(wav, dh, bh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);
   
     /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */
   
       Tcode=ivector(1,100);    Tcode=ivector(1,100);
       nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);     nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); 
       ncodemax[1]=1;    ncodemax[1]=1;
       if (cptcovn > 0) tricode(Tvar,nbcode,imx);    if (cptcovn > 0) tricode(Tvar,nbcode,imx);
               
    codtab=imatrix(1,100,1,10);    codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of 
    h=0;                                   the estimations*/
    m=pow(2,cptcoveff);    h=0;
     m=pow(2,cptcoveff);
     
    for(k=1;k<=cptcoveff; k++){    for(k=1;k<=cptcoveff; k++){
      for(i=1; i <=(m/pow(2,k));i++){      for(i=1; i <=(m/pow(2,k));i++){
        for(j=1; j <= ncodemax[k]; j++){        for(j=1; j <= ncodemax[k]; j++){
          for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){          for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){
            h++;            h++;
            if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;            if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;
            /*  printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/            /*  printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/
          }           } 
        }  
      }  
    }   
    /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]);   
       codtab[1][2]=1;codtab[2][2]=2; */  
    /* for(i=1; i <=m ;i++){   
       for(k=1; k <=cptcovn; k++){  
       printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);  
       }  
       printf("\n");  
       }        }
       scanf("%d",i);*/      }
     } 
     /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); 
        codtab[1][2]=1;codtab[2][2]=2; */
     /* for(i=1; i <=m ;i++){ 
        for(k=1; k <=cptcovn; k++){
        printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);
        }
        printf("\n");
        }
        scanf("%d",i);*/
           
    /* Calculates basic frequencies. Computes observed prevalence at single age    /* Calculates basic frequencies. Computes observed prevalence at single age
        and prints on file fileres'p'. */       and prints on file fileres'p'. */
   
       
      
     pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */      oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
            
     /* For Powell, parameters are in a vector p[] starting at p[1]     
        so we point p on param[1][1] so that p[1] maps on param[1][1][1] */    /* For Powell, parameters are in a vector p[] starting at p[1]
     p=param[1][1]; /* *(*(*(param +1)+1)+0) */       so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
     p=param[1][1]; /* *(*(*(param +1)+1)+0) */
   
     if(mle==1){    if(mle>=1){ /* Could be 1 or 2 */
     mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);      mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
     }    }
           
     /*--------- results files --------------*/    /*--------- results files --------------*/
     fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);    fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);
       
   
    jk=1;    jk=1;
    fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");    fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
    printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");    printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
    fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");    fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
    for(i=1,jk=1; i <=nlstate; i++){    for(i=1,jk=1; i <=nlstate; i++){
      for(k=1; k <=(nlstate+ndeath); k++){      for(k=1; k <=(nlstate+ndeath); k++){
        if (k != i)         if (k != i) 
          {          {
            printf("%d%d ",i,k);            printf("%d%d ",i,k);
            fprintf(ficlog,"%d%d ",i,k);            fprintf(ficlog,"%d%d ",i,k);
            fprintf(ficres,"%1d%1d ",i,k);            fprintf(ficres,"%1d%1d ",i,k);
            for(j=1; j <=ncovmodel; j++){            for(j=1; j <=ncovmodel; j++){
              printf("%f ",p[jk]);              printf("%f ",p[jk]);
              fprintf(ficlog,"%f ",p[jk]);              fprintf(ficlog,"%f ",p[jk]);
              fprintf(ficres,"%f ",p[jk]);              fprintf(ficres,"%f ",p[jk]);
              jk++;               jk++; 
            }            }
            printf("\n");            printf("\n");
            fprintf(ficlog,"\n");            fprintf(ficlog,"\n");
            fprintf(ficres,"\n");            fprintf(ficres,"\n");
          }          }
      }      }
    }    }
    if(mle==1){    if(mle==1){
      /* Computing hessian and covariance matrix */      /* Computing hessian and covariance matrix */
      ftolhess=ftol; /* Usually correct */      ftolhess=ftol; /* Usually correct */
      hesscov(matcov, p, npar, delti, ftolhess, func);      hesscov(matcov, p, npar, delti, ftolhess, func);
    }    }
    fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");    fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
    printf("# Scales (for hessian or gradient estimation)\n");    printf("# Scales (for hessian or gradient estimation)\n");
    fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");    fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");
    for(i=1,jk=1; i <=nlstate; i++){    for(i=1,jk=1; i <=nlstate; i++){
      for(j=1; j <=nlstate+ndeath; j++){      for(j=1; j <=nlstate+ndeath; j++){
        if (j!=i) {        if (j!=i) {
          fprintf(ficres,"%1d%1d",i,j);          fprintf(ficres,"%1d%1d",i,j);
          printf("%1d%1d",i,j);          printf("%1d%1d",i,j);
          fprintf(ficlog,"%1d%1d",i,j);          fprintf(ficlog,"%1d%1d",i,j);
          for(k=1; k<=ncovmodel;k++){          for(k=1; k<=ncovmodel;k++){
            printf(" %.5e",delti[jk]);            printf(" %.5e",delti[jk]);
            fprintf(ficlog," %.5e",delti[jk]);            fprintf(ficlog," %.5e",delti[jk]);
            fprintf(ficres," %.5e",delti[jk]);            fprintf(ficres," %.5e",delti[jk]);
            jk++;            jk++;
          }          }
          printf("\n");          printf("\n");
          fprintf(ficlog,"\n");          fprintf(ficlog,"\n");
          fprintf(ficres,"\n");          fprintf(ficres,"\n");
        }        }
      }      }
    }    }
         
    k=1;    fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
    fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");    if(mle==1)
    if(mle==1)      printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
      printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");    fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
    fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");    for(i=1,k=1;i<=npar;i++){
    for(i=1;i<=npar;i++){      /*  if (k>nlstate) k=1;
      /*  if (k>nlstate) k=1;          i1=(i-1)/(ncovmodel*nlstate)+1; 
          i1=(i-1)/(ncovmodel*nlstate)+1;           fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);
          fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);          printf("%s%d%d",alph[k],i1,tab[i]);
          printf("%s%d%d",alph[k],i1,tab[i]);*/      */
      fprintf(ficres,"%3d",i);      fprintf(ficres,"%3d",i);
      if(mle==1)      if(mle==1)
        printf("%3d",i);        printf("%3d",i);
      fprintf(ficlog,"%3d",i);      fprintf(ficlog,"%3d",i);
      for(j=1; j<=i;j++){      for(j=1; j<=i;j++){
        fprintf(ficres," %.5e",matcov[i][j]);        fprintf(ficres," %.5e",matcov[i][j]);
        if(mle==1)        if(mle==1)
          printf(" %.5e",matcov[i][j]);          printf(" %.5e",matcov[i][j]);
        fprintf(ficlog," %.5e",matcov[i][j]);        fprintf(ficlog," %.5e",matcov[i][j]);
      }      }
      fprintf(ficres,"\n");      fprintf(ficres,"\n");
      if(mle==1)      if(mle==1)
        printf("\n");        printf("\n");
      fprintf(ficlog,"\n");      fprintf(ficlog,"\n");
      k++;      k++;
    }    }
         
    while((c=getc(ficpar))=='#' && c!= EOF){    while((c=getc(ficpar))=='#' && c!= EOF){
      ungetc(c,ficpar);      ungetc(c,ficpar);
      fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
      puts(line);      puts(line);
      fputs(line,ficparo);      fputs(line,ficparo);
    }    }
    ungetc(c,ficpar);    ungetc(c,ficpar);
    estepm=0;  
    fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);    estepm=0;
    if (estepm==0 || estepm < stepm) estepm=stepm;    fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);
    if (fage <= 2) {    if (estepm==0 || estepm < stepm) estepm=stepm;
      bage = ageminpar;    if (fage <= 2) {
      fage = agemaxpar;      bage = ageminpar;
    }      fage = agemaxpar;
     }
         
    fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");    fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
    fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);    fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
    fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);    fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
         
    while((c=getc(ficpar))=='#' && c!= EOF){    while((c=getc(ficpar))=='#' && c!= EOF){
      ungetc(c,ficpar);      ungetc(c,ficpar);
      fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
      puts(line);      puts(line);
      fputs(line,ficparo);      fputs(line,ficparo);
    }    }
    ungetc(c,ficpar);    ungetc(c,ficpar);
       
    fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav);    fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav);
    fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,&mobilav);    fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
    fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,&mobilav);    fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
     printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
     fprintf(ficlog,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
         
    while((c=getc(ficpar))=='#' && c!= EOF){    while((c=getc(ficpar))=='#' && c!= EOF){
      ungetc(c,ficpar);      ungetc(c,ficpar);
      fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
      puts(line);      puts(line);
      fputs(line,ficparo);      fputs(line,ficparo);
    }    }
    ungetc(c,ficpar);    ungetc(c,ficpar);
     
   
    dateprev1=anprev1+mprev1/12.+jprev1/365.;    dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.;
    dateprev2=anprev2+mprev2/12.+jprev2/365.;    dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;
   
   fscanf(ficpar,"pop_based=%d\n",&popbased);    fscanf(ficpar,"pop_based=%d\n",&popbased);
   fprintf(ficparo,"pop_based=%d\n",popbased);       fprintf(ficparo,"pop_based=%d\n",popbased);   
Line 3760  printf("Total number of individuals= %d, Line 4109  printf("Total number of individuals= %d,
   }    }
   ungetc(c,ficpar);    ungetc(c,ficpar);
   
   fscanf(ficpar,"starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf\n",&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2);    fscanf(ficpar,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj);
 fprintf(ficparo,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2);    fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
 fprintf(ficres,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2);    printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
     fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
     fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
     /* day and month of proj2 are not used but only year anproj2.*/
   
     while((c=getc(ficpar))=='#' && c!= EOF){
 while((c=getc(ficpar))=='#' && c!= EOF){  
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
     puts(line);      puts(line);
Line 3777  while((c=getc(ficpar))=='#' && c!= EOF){ Line 4128  while((c=getc(ficpar))=='#' && c!= EOF){
   fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);    fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);
   fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);    fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);
   
  freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);    probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
 /*------------ gnuplot -------------*/    freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
  strcpy(optionfilegnuplot,optionfilefiname);  
  strcat(optionfilegnuplot,".gp");    /*------------ gnuplot -------------*/
  if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {    strcpy(optionfilegnuplot,optionfilefiname);
    printf("Problem with file %s",optionfilegnuplot);    strcat(optionfilegnuplot,".gp");
  }    if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {
  else{      printf("Problem with file %s",optionfilegnuplot);
    fprintf(ficgp,"\n# %s\n", version);     }
    fprintf(ficgp,"# %s\n", optionfilegnuplot);     else{
    fprintf(ficgp,"set missing 'NaNq'\n");      fprintf(ficgp,"\n# %s\n", version); 
 }      fprintf(ficgp,"# %s\n", optionfilegnuplot); 
  fclose(ficgp);      fprintf(ficgp,"set missing 'NaNq'\n");
  printinggnuplot(fileres, ageminpar,agemaxpar,fage, pathc,p);    }
 /*--------- index.htm --------*/    fclose(ficgp);
     printinggnuplot(fileres, ageminpar,agemaxpar,fage, pathc,p);
     /*--------- index.htm --------*/
   
   strcpy(optionfilehtm,optionfile);    strcpy(optionfilehtm,optionfile);
   strcat(optionfilehtm,".htm");    strcat(optionfilehtm,".htm");
Line 3803  while((c=getc(ficpar))=='#' && c!= EOF){ Line 4156  while((c=getc(ficpar))=='#' && c!= EOF){
 Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n  Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n
 \n  \n
 Total number of observations=%d <br>\n  Total number of observations=%d <br>\n
   Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n
 Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n  Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n
 <hr  size=\"2\" color=\"#EC5E5E\">  <hr  size=\"2\" color=\"#EC5E5E\">
  <ul><li><h4>Parameter files</h4>\n   <ul><li><h4>Parameter files</h4>\n
  - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n   - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n
  - Log file of the run: <a href=\"%s\">%s</a><br>\n   - Log file of the run: <a href=\"%s\">%s</a><br>\n
  - Gnuplot file name: <a href=\"%s\">%s</a></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,filelog,filelog,optionfilegnuplot,optionfilegnuplot);   - Gnuplot file name: <a href=\"%s\">%s</a></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,agemin,agemax,jmin,jmax,jmean,fileres,fileres,filelog,filelog,optionfilegnuplot,optionfilegnuplot);
   fclose(fichtm);     fclose(fichtm);
   
  printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);    printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);
     
 /*------------ free_vector  -------------*/    /*------------ free_vector  -------------*/
  chdir(path);    chdir(path);
     
  free_ivector(wav,1,imx);    free_ivector(wav,1,imx);
  free_imatrix(dh,1,lastpass-firstpass+1,1,imx);    free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
  free_imatrix(mw,1,lastpass-firstpass+1,1,imx);       free_imatrix(bh,1,lastpass-firstpass+1,1,imx);
  free_ivector(num,1,n);    free_imatrix(mw,1,lastpass-firstpass+1,1,imx);   
  free_vector(agedc,1,n);    free_ivector(num,1,n);
  /*free_matrix(covar,1,NCOVMAX,1,n);*/    free_vector(agedc,1,n);
  fclose(ficparo);    /*free_matrix(covar,0,NCOVMAX,1,n);*/
  fclose(ficres);    /*free_matrix(covar,1,NCOVMAX,1,n);*/
     fclose(ficparo);
     fclose(ficres);
   
   
   /*--------------- Prevalence limit  (stable prevalence) --------------*/    /*--------------- Prevalence limit  (stable prevalence) --------------*/
Line 3842  Interval (in months) between two waves: Line 4198  Interval (in months) between two waves:
   fprintf(ficrespl,"\n");    fprintf(ficrespl,"\n");
       
   prlim=matrix(1,nlstate,1,nlstate);    prlim=matrix(1,nlstate,1,nlstate);
   pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */  
   oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */  
   newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */  
   savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */  
   oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */  
   k=0;  
   agebase=ageminpar;    agebase=ageminpar;
   agelim=agemaxpar;    agelim=agemaxpar;
   ftolpl=1.e-10;    ftolpl=1.e-10;
   i1=cptcoveff;    i1=cptcoveff;
   if (cptcovn < 1){i1=1;}    if (cptcovn < 1){i1=1;}
   
   for(cptcov=1;cptcov<=i1;cptcov++){    for(cptcov=1,k=0;cptcov<=i1;cptcov++){
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
         k=k+1;        k=k+1;
         /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/        /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/
         fprintf(ficrespl,"\n#******");        fprintf(ficrespl,"\n#******");
         printf("\n#******");        printf("\n#******");
         fprintf(ficlog,"\n#******");        fprintf(ficlog,"\n#******");
         for(j=1;j<=cptcoveff;j++) {        for(j=1;j<=cptcoveff;j++) {
           fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
           printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
           fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
         }        }
         fprintf(ficrespl,"******\n");        fprintf(ficrespl,"******\n");
         printf("******\n");        printf("******\n");
         fprintf(ficlog,"******\n");        fprintf(ficlog,"******\n");
                   
         for (age=agebase; age<=agelim; age++){        for (age=agebase; age<=agelim; age++){
           prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);          prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
           fprintf(ficrespl,"%.0f",age );          fprintf(ficrespl,"%.0f ",age );
           for(i=1; i<=nlstate;i++)          for(j=1;j<=cptcoveff;j++)
             fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
           for(i=1; i<=nlstate;i++)
           fprintf(ficrespl," %.5f", prlim[i][i]);            fprintf(ficrespl," %.5f", prlim[i][i]);
           fprintf(ficrespl,"\n");          fprintf(ficrespl,"\n");
         }  
       }        }
     }      }
     }
   fclose(ficrespl);    fclose(ficrespl);
   
   /*------------- h Pij x at various ages ------------*/    /*------------- h Pij x at various ages ------------*/
Line 3900  Interval (in months) between two waves: Line 4253  Interval (in months) between two waves:
   
   /* hstepm=1;   aff par mois*/    /* hstepm=1;   aff par mois*/
   
   k=0;    fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");
   for(cptcov=1;cptcov<=i1;cptcov++){    for(cptcov=1,k=0;cptcov<=i1;cptcov++){
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
       k=k+1;        k=k+1;
         fprintf(ficrespij,"\n#****** ");        fprintf(ficrespij,"\n#****** ");
         for(j=1;j<=cptcoveff;j++)         for(j=1;j<=cptcoveff;j++) 
           fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
         fprintf(ficrespij,"******\n");        fprintf(ficrespij,"******\n");
                   
         for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */        for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
           nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */           nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
           nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */          nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
   
           /*      nhstepm=nhstepm*YEARM; aff par mois*/          /*        nhstepm=nhstepm*YEARM; aff par mois*/
   
           p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);          p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           oldm=oldms;savm=savms;          oldm=oldms;savm=savms;
           hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);            hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
           fprintf(ficrespij,"# Age");          fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");
           for(i=1; i<=nlstate;i++)
             for(j=1; j<=nlstate+ndeath;j++)
               fprintf(ficrespij," %1d-%1d",i,j);
           fprintf(ficrespij,"\n");
           for (h=0; h<=nhstepm; h++){
             fprintf(ficrespij,"%d %3.f %3.f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );
           for(i=1; i<=nlstate;i++)            for(i=1; i<=nlstate;i++)
             for(j=1; j<=nlstate+ndeath;j++)              for(j=1; j<=nlstate+ndeath;j++)
               fprintf(ficrespij," %1d-%1d",i,j);                fprintf(ficrespij," %.5f", p3mat[i][j][h]);
           fprintf(ficrespij,"\n");  
            for (h=0; h<=nhstepm; h++){  
             fprintf(ficrespij,"%d %f %f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );  
             for(i=1; i<=nlstate;i++)  
               for(j=1; j<=nlstate+ndeath;j++)  
                 fprintf(ficrespij," %.5f", p3mat[i][j][h]);  
             fprintf(ficrespij,"\n");  
              }  
           free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);  
           fprintf(ficrespij,"\n");            fprintf(ficrespij,"\n");
         }          }
           free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           fprintf(ficrespij,"\n");
         }
     }      }
   }    }
   
   varprob(optionfilefiname, matcov, p, delti, nlstate, (int) bage, (int) fage,k,Tvar,nbcode, ncodemax);    varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax);
   
   fclose(ficrespij);    fclose(ficrespij);
   
   
   /*---------- Forecasting ------------------*/    /*---------- Forecasting ------------------*/
   if((stepm == 1) && (strcmp(model,".")==0)){    /*if((stepm == 1) && (strcmp(model,".")==0)){*/
     prevforecast(fileres, anproj1,mproj1,jproj1, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anproj2,p, i1);    if(prevfcast==1){
     if (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);      /*    if(stepm ==1){*/
   }         prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
   else{        /* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
     erreur=108;  /*      }  */
     printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model);  /*      else{ */
     fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model);  /*        erreur=108; */
   /*        printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
   /*        fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
   /*      } */
   }    }
       
   
Line 3982  Interval (in months) between two waves: Line 4338  Interval (in months) between two waves:
   }    }
   printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);    printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
   fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);    fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
   calagedate=-1;  
   prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);    /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
     prevalence(agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
     /*  printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d,  mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\
   ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
     */
   
   if (mobilav!=0) {    if (mobilav!=0) {
     mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);      mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){      if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
Line 3992  Interval (in months) between two waves: Line 4353  Interval (in months) between two waves:
     }      }
   }    }
   
   k=0;    for(cptcov=1,k=0;cptcov<=i1;cptcov++){
   for(cptcov=1;cptcov<=i1;cptcov++){  
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
       k=k+1;         k=k+1; 
       fprintf(ficrest,"\n#****** ");        fprintf(ficrest,"\n#****** ");
Line 4020  Interval (in months) between two waves: Line 4380  Interval (in months) between two waves:
       varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,0, mobilav);        varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,0, mobilav);
       if(popbased==1){        if(popbased==1){
         varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased,mobilav);          varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased,mobilav);
        }        }
   
     
       fprintf(ficrest,"#Total LEs with variances: e.. (std) ");        fprintf(ficrest,"#Total LEs with variances: e.. (std) ");
Line 4058  Interval (in months) between two waves: Line 4418  Interval (in months) between two waves:
         }          }
         fprintf(ficrest,"\n");          fprintf(ficrest,"\n");
       }        }
         free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
         free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
         free_vector(epj,1,nlstate+1);
     }      }
   }    }
 free_matrix(mint,1,maxwav,1,n);    free_vector(weight,1,n);
     free_matrix(anint,1,maxwav,1,n); free_imatrix(s,1,maxwav+1,1,n);    free_imatrix(Tvard,1,15,1,2);
     free_vector(weight,1,n);    free_imatrix(s,1,maxwav+1,1,n);
     free_matrix(anint,1,maxwav,1,n); 
     free_matrix(mint,1,maxwav,1,n);
     free_ivector(cod,1,n);
     free_ivector(tab,1,NCOVMAX);
   fclose(ficreseij);    fclose(ficreseij);
   fclose(ficresvij);    fclose(ficresvij);
   fclose(ficrest);    fclose(ficrest);
   fclose(ficpar);    fclose(ficpar);
   free_vector(epj,1,nlstate+1);  
       
   /*------- Variance of stable prevalence------*/       /*------- Variance of stable prevalence------*/   
   
Line 4079  free_matrix(mint,1,maxwav,1,n); Line 4445  free_matrix(mint,1,maxwav,1,n);
   }    }
   printf("Computing Variance-covariance of stable prevalence: file '%s' \n", fileresvpl);    printf("Computing Variance-covariance of stable prevalence: file '%s' \n", fileresvpl);
   
   k=0;    for(cptcov=1,k=0;cptcov<=i1;cptcov++){
   for(cptcov=1;cptcov<=i1;cptcov++){  
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
       k=k+1;        k=k+1;
       fprintf(ficresvpl,"\n#****** ");        fprintf(ficresvpl,"\n#****** ");
Line 4090  free_matrix(mint,1,maxwav,1,n); Line 4455  free_matrix(mint,1,maxwav,1,n);
               
       varpl=matrix(1,nlstate,(int) bage, (int) fage);        varpl=matrix(1,nlstate,(int) bage, (int) fage);
       oldm=oldms;savm=savms;        oldm=oldms;savm=savms;
      varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);        varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);
         free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
     }      }
  }    }
   
   fclose(ficresvpl);    fclose(ficresvpl);
   
   /*---------- End : free ----------------*/    /*---------- End : free ----------------*/
   free_matrix(varpl,1,nlstate,(int) bage, (int)fage);  
     
   free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);  
   free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);  
     
     
   free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
      
     free_matrix(covar,0,NCOVMAX,1,n);
   free_matrix(matcov,1,npar,1,npar);    free_matrix(matcov,1,npar,1,npar);
   free_vector(delti,1,npar);    /*free_vector(delti,1,npar);*/
     free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); 
   free_matrix(agev,1,maxwav,1,imx);    free_matrix(agev,1,maxwav,1,imx);
   free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);    free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
   if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);    if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
   
   fprintf(fichtm,"\n</body>");    free_ivector(ncodemax,1,8);
   fclose(fichtm);    free_ivector(Tvar,1,15);
   fclose(ficgp);    free_ivector(Tprod,1,15);
     free_ivector(Tvaraff,1,15);
     free_ivector(Tage,1,15);
     free_ivector(Tcode,1,100);
   
     /*  fclose(fichtm);*/
     /*  fclose(ficgp);*/ /* ALready done */
       
   
   if(erreur >0){    if(erreur >0){
Line 4134  free_matrix(mint,1,maxwav,1,n); Line 4503  free_matrix(mint,1,maxwav,1,n);
   /*printf("Total time was %d uSec.\n", total_usecs);*/    /*printf("Total time was %d uSec.\n", total_usecs);*/
   /*------ End -----------*/    /*------ End -----------*/
   
     end:
  end:  
 #ifdef windows  #ifdef windows
   /* chdir(pathcd);*/    /* chdir(pathcd);*/
 #endif   #endif 
Line 4143  free_matrix(mint,1,maxwav,1,n); Line 4511  free_matrix(mint,1,maxwav,1,n);
  /*system("../gp37mgw/wgnuplot graph.plt");*/   /*system("../gp37mgw/wgnuplot graph.plt");*/
  /*system("cd ../gp37mgw");*/   /*system("cd ../gp37mgw");*/
  /* system("..\\gp37mgw\\wgnuplot graph.plt");*/   /* system("..\\gp37mgw\\wgnuplot graph.plt");*/
  strcpy(plotcmd,GNUPLOTPROGRAM);    strcpy(plotcmd,GNUPLOTPROGRAM);
  strcat(plotcmd," ");    strcat(plotcmd," ");
  strcat(plotcmd,optionfilegnuplot);    strcat(plotcmd,optionfilegnuplot);
  printf("Starting: %s\n",plotcmd);fflush(stdout);    printf("Starting graphs with: %s",plotcmd);fflush(stdout);
  system(plotcmd);    system(plotcmd);
     printf(" Wait...");
   
  /*#ifdef windows*/   /*#ifdef windows*/
   while (z[0] != 'q') {    while (z[0] != 'q') {
Removed from v.1.55  
changed lines
  Added in v.1.77

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